Updated on 2025/06/21

写真a

 
MORITA Mizuki
 
Organization
Faculty of Interdisciplinary Science and Engineering in Health Systems Professor
Position
Professor
Profile

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■ 研究室(生体情報科学): https://www.bilab.jp
■ 岡山大学病院バイオバンク: http://biobank.ccsv.okayama-u.ac.jp
■ ヘルスシステム統合科学研究科: http://www.gisehs.okayama-u.ac.jp

External link

Degree

  • Ph.D. ( The University of Tokyo )

Research Interests

  • デジタルバイオマーカー

  • 情報システム

  • 意思決定

  • 医療情報

  • Natural Language Processing

  • Biobank

  • 生体情報

  • 生体信号処理

  • Bioinformatics

  • Biomarker

  • medical engineering

Education

  • The University of Tokyo   大学院農学生命科学研究科   応用生命工学専攻

    2005.4 - 2008.3

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  • Tokyo Institute of Technology   大学院生命理工学研究科   生体分子機能工学専攻

    2003.4 - 2005.3

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  • Tokyo Institute of Technology   生命理工学部   生命工学科

    1999.4 - 2003.3

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Papers

  • Effects of Sampling Frequency on Human Activity Recognition with Machine Learning Aiming at Clinical Applications Reviewed International journal

    Takahiro Yamane, Moeka Kimura, Mizuki Morita

    Sensors   25 ( 12 )   3780 - 3780   2025.6

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:MDPI AG  

    Human activity recognition using wearable accelerometer data can be a useful digital biomarker for severity assessment and the diagnosis of diseases, where the relationship between onset and patient activity is crucial. For long-term monitoring in clinical settings, the volume of data collected over time should be minimized to reduce power consumption, computational load, and communication volume. This study aimed to determine the lowest sampling frequency that maintains recognition accuracy for each activity. Thirty healthy participants wore nine-axis accelerometer sensors at five body locations and performed nine activities. Machine-learning-based activity recognition was conducted using data sampled at 100, 50, 25, 20, 10, and 1 Hz. Data from the non-dominant wrist and chest, which have previously shown high recognition accuracy, were used. Reducing the sampling frequency to 10 Hz did not significantly affect the recognition accuracy for either location. However, lowering the frequency to 1 Hz decreases the accuracy of many activities, particularly brushing teeth. Using data with a 10 Hz sampling frequency can maintain recognition accuracy while decreasing data volume, enabling long-term patient monitoring and device miniaturization for clinical applications.

    DOI: 10.3390/s25123780

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  • DNA Degradation in FFPE Tissue Samples Caused by Air Transport: An Experimental Evaluation of Radiation Exposure Reviewed International journal

    Rio Yamaguchi, Takahiro Yamane, Masahiro Oita, Hirofumi Inoue, Mizuki Morita

    Pathology International   2025.6

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Wiley  

    DOI: 10.1111/pin.70027

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  • Impact of Sensor-Axis Combinations on Machine Learning Accuracy for Human Activity Recognition Using Accelerometer Data in Clinical Settings Reviewed International journal

    Takahiro Yamane, Moeka Kimura, Mizuki Morita

    Physical Activity and Health   9 ( 1 )   95 - 109   2025.5

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Ubiquity Press, Ltd.  

    Background: Identifying patient activity during symptom onset is crucial in conditions such as chronic obstructive pulmonary disease (COPD) or arrhythmia. Accelerometer data can aid in this process; however, minimal data requirements are preferable. This study aimed to determine the minimum number of axes required to accurately recognize activities related to COPD or arrhythmia.Methods: Thirty healthy participants wore a 9-axis accelerometer in five positions and performed nine activities. Machine learning-based activity recognition was conducted using 9-, 6-, and 3-axis data from the nondominant wrist or chest, as these two positions demonstrated high recognition accuracy in our previous study.Results: For the nondominant wrist, the accuracy of recognizing activities such as lying in the supine position, standing, eating, and running was comparable for the 3-axis acceleration and 9-axis data. For the chest, the accuracy of recognizing activities such as lying in the supine position, standing, sitting, using the restroom, and ascending or descending stairs was comparable for 6-axis (combined acceleration and magnetometer) and 9-axis data.Conclusions: The findings suggest that 3-axis acceleration data for the nondominant wrist and 6-axis combined acceleration and magnetometer data for the chest lead to high activity recognition accuracy.

    DOI: 10.5334/paah.441

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  • Clinical-level screening of sleep apnea syndrome with single-lead ECG alone is achievable using machine learning with appropriate time windows Reviewed International journal

    Takahiro Yamane, Masanori Fujii, Mizuki Morita

    Sleep and Breathing   29 ( 2 )   156   2025.4

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    Purpose: To establish a simple and noninvasive screening test for sleep apnea (SA) that imposes less burden on potential patients. The specific objective of this study was to verify the effectiveness of past and future single-lead electrocardiogram (ECG) data from SA occurrence sites in improving the estimation accuracy of SA and sleep apnea syndrome (SAS) using machine learning.
    Methods: The Apnea-ECG dataset comprising 70 ECG recordings was used to construct various machine-learning models. The time window size was adjusted based on the accuracy of SA detection, and the performance of SA detection and SAS diagnosis (apnea‒hypopnea index ≥ 5 was considered SAS) was compared.
    Results: Using ECG data from a few minutes before and after the occurrence of SAs improved the estimation accuracy of SA and SAS in all machine learning models. The optimal range of the time window and achieved accuracy for SAS varied by model; however, the sensitivity ranged from 95.7 to 100%, and the specificity ranged from 91.7 to 100%.
    Conclusions: ECG data from a few minutes before and after SA occurrence were effective in SA detection and SAS diagnosis, confirming that SA is a continuous phenomenon and that SA affects heart function over a few minutes before and after SA occurrence. Screening tests for SAS, using data obtained from single-lead ECGs with appropriate past and future time windows, should be performed with clinical-level accuracy.

    DOI: 10.1007/s11325-025-03316-0

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    Other Link: https://link.springer.com/article/10.1007/s11325-025-03316-0/fulltext.html

  • Application of Nine-Axis Accelerometer-Based Recognition of Daily Activities in Clinical Examination Reviewed International journal

    Takahiro Yamane, Moeka Kimura, Mizuki Morita

    Physical Activity and Health   8 ( 1 )   29 - 46   2024.3

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Ubiquity Press  

    DOI: 10.5334/paah.313

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  • Tri-Axial Accelerometer-Based Recognition of Daily Activities Causing Shortness of Breath in COPD Patients Reviewed International journal

    Takahiro Yamane, Yuu Yamasaki, Wakana Nakashima, Mizuki Morita

    Physical Activity and Health   7 ( 1 )   64 - 75   2023.2

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Ubiquity Press, Ltd.  

    DOI: 10.5334/paah.224

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  • Trial of sportswear type ECG sensor device for cardiac safety management during marathon running Reviewed International journal

    Takahiro Yamane, Kazuya Hirano, Kenta Hirai, Daiki Ousaka, Noriko Sakano, Mizuki Morita, Susumu Oozawa, Shingo Kasahara

    Advanced Biomedical Engineering   11   151 - 161   2022.8

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.14326/abe.11.151

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  • Initial evaluation of a novel electrocardiography sensor-embedded fabric wear during a full marathon Reviewed International journal

    Daiki Ousaka, Kenta Hirai, Noriko Sakano, Mizuki Morita, Madoka Haruna, Kazuya Hirano, Takahiro Yamane, Akira Teraoka, Kazuo Sanou, Susumu Oozawa, Shingo Kasahara

    Heart and Vessels   37 ( 3 )   443 - 450   2022.3

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    Language:English   Publishing type:Research paper (scientific journal)  

    Sudden cardiac accident (SCA) during a marathon is a concern due to the popularity of the sport. Preventive strategies, such as cardiac screening and deployment of automated external defibrillators have controversial cost-effectiveness. We investigated the feasibility of use of a new electrocardiography (ECG) sensor-embedded fabric wear (SFW) during a marathon as a novel preventive strategy against SCA. Twenty healthy volunteers participated in a full marathon race. They were equipped with a SFW hitoe® with a transmitter connected via Bluetooth to a standard smartphone for continuous ECG recording. All data were stored in a smartphone and used to analyze the data acquisition rate. The adequate data acquisition rate was > 90% in 13, 30-90% in 3, and < 10% in 4 runners. All of 4 runners with poorly recorded data were female. Inadequate data acquisition was significantly associated with the early phase of the race compared with the mid phase (P = 0.007). Except for 3 runners with poor heart rate data, automated software calculation was significantly associated with manual analysis for both the mean (P < 0.001) and maximum (P = 0.014) heart rate. We tested the feasibility of continuously recording cardiac data during a marathon using a new ECG sensor-embedded wearable device. Although data from 65% of runners were adequately recorded, female runners and the early phase of the race tended to have poor data acquisition. Further improvements in device ergonomics and software are necessary to improve ability to detect abnormal ECGs that may precede SCA.

    DOI: 10.1007/s00380-021-01939-3

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  • Multiple cancer type classification by small RNA expression profiles with plasma samples from multiple facilities Reviewed International journal

    Kuno Suzuki, Hideyoshi Igata, Motoki Abe, Yusuke Yamamoto, small RNA based cancer classification project

    Cancer Science   113 ( 6 )   2144 - 2166   2022.2

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Wiley  

    DOI: 10.1111/cas.15309

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  • Predicting Anesthetic Infusion Events Using Machine Learning Reviewed International journal

    Naoki Miyaguchi, Koh Takeuchi, Hisashi Kashima, Mizuki Morita, Hiroshi Morimatsu

    Scientific Reports   11 ( 1 )   23648 - 23648   2021.11

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    Recently, research has been conducted to automatically control anesthesia using machine learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we address the problem of predicting decisions made by anesthesiologists during surgery using machine learning; specifically, we formulate a decision making problem by increasing the flow rate at each time point in the continuous administration of analgesic remifentanil as a supervised binary classification problem. The experiments were conducted to evaluate the prediction performance using six machine learning models: logistic regression, support vector machine, random forest, LightGBM, artificial neural network, and long short-term memory (LSTM), using 210 case data collected during actual surgeries. The results demonstrated that when predicting the future increase in flow rate of remifentanil after 1 min, the model using LSTM was able to predict with scores of 0.659 for sensitivity, 0.732 for specificity, and 0.753 for ROC-AUC; this demonstrates the potential to predict the decisions made by anesthesiologists using machine learning. Furthermore, we examined the importance and contribution of the features of each model using Shapley additive explanations-a method for interpreting predictions made by machine learning models. The trends indicated by the results were partially consistent with known clinical findings.

    DOI: 10.1038/s41598-021-03112-2

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  • The Data Use Ontology to streamline responsible access to human biomedical datasets Reviewed International coauthorship International journal

    Jonathan Lawson, Moran N. Cabili, Giselle Kerry, Tiffany Boughtwood, Adrian Thorogood, Pinar Alper, Sarion R. Bowers, Rebecca R. Boyles, Anthony J. Brookes, Matthew Brush, Tony Burdett, Hayley Clissold, Stacey Donnelly, Stephanie O.M. Dyke, Mallory A. Freeberg, Melissa A. Haendel, Chihiro Hata, Petr Holub, Francis Jeanson, Aina Jene, Minae Kawashima, Shuichi Kawashima, Melissa Konopko, Irene Kyomugisha, Haoyuan Li, Mikael Linden, Laura Lyman Rodriguez, Mizuki Morita, Nicola Mulder, Jean Muller, Satoshi Nagaie, Jamal Nasir, Soichi Ogishima, Vivian Ota Wang, Laura D. Paglione, Ravi N. Pandya, Helen Parkinson, Anthony A. Philippakis, Fabian Prasser, Jordi Rambla, Kathy Reinold, Gregory A. Rushton, Andrea Saltzman, Gary Saunders, Heidi J. Sofia, John D. Spalding, Morris A. Swertz, Ilia Tulchinsky, Esther J. van Enckevort, Susheel Varma, Craig Voisin, Natsuko Yamamoto, Chisato Yamasaki, Lyndon Zass, Jaime M. Guidry Auvil, Tommi H. Nyrönen, Mélanie Courtot

    Cell Genomics   1 ( 2 )   100028 - 100028   2021.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.xgen.2021.100028

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  • Simple Wearable Device to Reduce Stress When Delivering a Speech without Pre-Training Reviewed International journal

    Takahiro Yamane, Yuma Nakadoi, Mina Takagi, Mizuki Morita

    Healthcare Informatics Research   27 ( 3 )   231 - 240   2021.7

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Korean Society of Medical Informatics  

    DOI: 10.4258/hir.2021.27.3.231

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    Other Link: https://www.webofscience.com/wos/woscc/full-record/WOS:000684600200008

  • Rolling stockpile of medical supplies for pandemic preparedness: modeling and simulation Reviewed

    Mizuki Morita

    Interdisciplinary Science   1   17 - 20   2021.3

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    Authorship:Lead author, Last author, Corresponding author   Language:Japanese   Publishing type:Research paper (bulletin of university, research institution)  

    When a global pandemic of infectious diseases occurs, demand for medical supplies such as masks, disinfectants, and personal protective equipment will exceed the production capacity in normal times, consequently leading to serious shortages. Stockpiling is necessary to prepare for such situations. However, because pandemics are infrequent and might occur at any time, stockpile freshness is an important concern. As described in this paper, a “rolling stockpile” of medical supplies is proposed to prevent the medical supply stockpile from becoming too old. A formulation of a model and simulations based on it is presented. Results demonstrate that the method is applicable to the design of warehouses for rolling stockpiles, monitoring stockpile depletion during emergencies, and monitoring the process of recovery from emergencies.

    DOI: 10.18926/interdisciplinary/61886

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  • Information and communication technology equipment and services for remote monitoring and health management: Survey of services and their classification for use in home care nursing Reviewed

    Toshio Sakamoto, Akina Hirata, Mizuki Morita

    Interdisciplinary Science   1   47 - 63   2021.3

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    Authorship:Last author, Corresponding author   Language:Japanese   Publishing type:Research paper (bulletin of university, research institution)  

    DOI: 10.18926/interdisciplinary/61889

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  • De-identifying free text of Japanese electronic health records Reviewed International journal

    Kohei Kajiyama, Hiromasa Horiguchi, Takashi Okumura, Mizuki Morita, Yoshinobu Kano

    Journal of Biomedical Semantics   11 ( 1 )   11 - 11   2020.9

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    BACKGROUND: Recently, more electronic data sources are becoming available in the healthcare domain. Electronic health records (EHRs), with their vast amounts of potentially available data, can greatly improve healthcare. Although EHR de-identification is necessary to protect personal information, automatic de-identification of Japanese language EHRs has not been studied sufficiently. This study was conducted to raise de-identification performance for Japanese EHRs through classic machine learning, deep learning, and rule-based methods, depending on the dataset. RESULTS: Using three datasets, we implemented de-identification systems for Japanese EHRs and compared the de-identification performances found for rule-based, Conditional Random Fields (CRF), and Long-Short Term Memory (LSTM)-based methods. Gold standard tags for de-identification are annotated manually for age, hospital, person, sex, and time. We used different combinations of our datasets to train and evaluate our three methods. Our best F1-scores were 84.23, 68.19, and 81.67 points, respectively, for evaluations of the MedNLP dataset, a dummy EHR dataset that was virtually written by a medical doctor, and a Pathology Report dataset. Our LSTM-based method was the best performing, except for the MedNLP dataset. The rule-based method was best for the MedNLP dataset. The LSTM-based method achieved a good score of 83.07 points for this MedNLP dataset, which differs by 1.16 points from the best score obtained using the rule-based method. Results suggest that LSTM adapted well to different characteristics of our datasets. Our LSTM-based method performed better than our CRF-based method, yielding a 7.41 point F1-score, when applied to our Pathology Report dataset. This report is the first of study applying this LSTM-based method to any de-identification task of a Japanese EHR. CONCLUSIONS: Our LSTM-based machine learning method was able to extract named entities to be de-identified with better performance, in general, than that of our rule-based methods. However, machine learning methods are inadequate for processing expressions with low occurrence. Our future work will specifically examine the combination of LSTM and rule-based methods to achieve better performance. Our currently achieved level of performance is sufficiently higher than that of publicly available Japanese de-identification tools. Therefore, our system will be applied to actual de-identification tasks in hospitals.

    DOI: 10.1186/s13326-020-00227-9

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  • DV200 index for assessing RNA integrity in next-generation sequencing Reviewed International journal

    Takehiro Matsubara, Junichi Soh, Mizuki Morita, Takahiro Uwabo, Shuta Tomida, Toshiyoshi Fujiwara, Susumu Kanazawa, Shinichi Toyooka, Akira Hirasawa

    BioMed Research International   2020   9349132   2020.2

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Hindawi  

    Poor quality of biological samples will result in an inaccurate analysis of next-generation sequencing (NGS). Therefore, methods to accurately evaluate sample integrity are needed. Among methods for evaluating RNA quality, the RNA integrity number equivalent (RINe) is widely used, whereas the DV200, which evaluates the percentage of fragments of >200 nucleotides, is also used as a quality assessment standard. In this study, we compared the RINe and DV200 RNA quality indexes to determine the most suitable RNA index for the NGS analysis. Seventy-one RNA samples were extracted from formalin-fixed paraffin-embedded tissue samples (n = 30), fresh-frozen samples (n = 25), or cell lines (n = 16). After assessing RNA quality using the RINe and DV200, we prepared two kinds of stranded mRNA sequencing libraries. Finally, we calculated the correlation between each RNA quality index and the amount of library product (1st PCR product per input RNA). The DV200 measure showed stronger correlation with the amount of library product than the RINe (R 2 = 0.8208 for the DV200 versus 0.6927 for the RINe). Receiver operating characteristic curve analyses revealed that the DV200 was the better marker for predicting efficient library production than the RINe using a threshold of >10 ng/ng for the amount of the 1st PCR product per input RNA (cutoff value for the RINe and DV200, 2.3 and 66.1%; area under the curve, 0.99 and 0.91; sensitivity, 82% and 92%; and specificity, 93% and 100%, respectively). Our results indicate that NGS libraries prepared using RNA samples with the DV200 value > 66.1% exhibit greater sensitivity and specificity than those prepared with the RINe values > 2.3. These findings suggest that the DV200 is superior to the RINe, especially for low-quality RNA, because it is a more consistent assessment of the amount of the 1st NGS library product per input.

    DOI: 10.1155/2020/9349132

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  • Search for Therapeutic Agents for Cardiac Arrest Using a Drug Discovery Tool and Large-Scale Medical Information Database Reviewed International journal

    Yoshito Zamami, Takahiro Niimura, Toshihiro Koyama, Yuta Shigemi, Yuki Izawa-Ishizawa, Mizuki Morita, Ayako Ohshima, Keisaku Harada, Toru Imai, Hiromi Hagiwara, Naoto Okada, Mitsuhiro Goda, Kenshi Takechi, Masayuki Chuma, Yutaka Kondo, Koichiro Tsuchiya, Shiro Hinotsu, Mitsunobu R Kano, Keisuke Ishizawa

    Frontiers in pharmacology   10   1257 - 1257   2019.11

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    The survival rate of cardiac arrest patients is less than 10%; therefore, development of a therapeutic strategy that improves their prognosis is necessary. Herein, we searched data collected from medical facilities throughout Japan for drugs that improve the survival rate of cardiac arrest patients. Candidate drugs, which could improve the prognosis of cardiac arrest patients, were extracted using "TargetMine," a drug discovery tool. We investigated whether the candidate drugs were among the drugs administered within 1 month after cardiac arrest in data of cardiac arrest cases obtained from the Japan Medical Data Center. Logistic regression analysis was performed, with the explanatory variables being the presence or absence of the administration of those candidate drugs that were administered to ≥10 patients and the objective variable being the "survival discharge." Adjusted odds ratios for survival discharge were calculated using propensity scores for drugs that significantly improved the proportion of survival discharge; the influence of covariates, such as patient background, medical history, and treatment factors, was excluded by the inverse probability-of-treatment weighted method. Using the search strategy, we extracted 165 drugs with vasodilator activity as candidate drugs. Drugs not approved in Japan, oral medicines, and external medicines were excluded. Then, we investigated whether the candidate drugs were administered to the 2,227 cardiac arrest patients included in this study. The results of the logistic regression analysis showed that three (isosorbide dinitrate, nitroglycerin, and nicardipine) of seven drugs that were administered to ≥10 patients showed significant association with improvement in the proportion of survival discharge. Further analyses using propensity scores revealed that the adjusted odds ratios for survival discharge for patients administered isosorbide dinitrate, nitroglycerin, and nicardipine were 3.35, 5.44, and 4.58, respectively. Thus, it can be suggested that isosorbide dinitrate, nitroglycerin, and nicardipine could be novel therapeutic agents for improving the prognosis of cardiac arrest patients.

    DOI: 10.3389/fphar.2019.01257

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  • Challenges in Building and Maintaining Rare Disease Patient Registries: Results of a Questionnaire Survey in Japan at 2012

    Mizuki Morita, Soichi Ogishima

    medRxiv   19004770   2019.8

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1101/19004770

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  • A new approach to prevent critical cardiac accidents in athletes by real-time electrocardiographic tele-monitoring system: Initial trial in full marathon Reviewed International journal

    Daiki Ousaka, Noriko Sakano, Mizuki Morita, Takayuki Shuku, Kazuo Sanou, Shingo Kasahara, Susumu Oozawa

    Journal of Cardiology Cases   20 ( 1 )   35 - 38   2019.5

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    The majority of marathon deaths are caused by sudden cardiac arrest (SCA), which occur in approximately 1 in 57,000 runners. Such deaths are more common among older males and usually occur in the last 4 miles of the racecourse. Although prompt resuscitation, including early use of an automated external defibrillator (AED), improves survival, the deployment of enough trained medical staff and AEDs is difficult due to increased cost. Moreover, most victims of exercise-related SCA have no premonitory symptoms. Therefore, we tried to use a novel approach to prevent sudden cardiac deaths (SCD) related to SCA using real-time electrocardiographic tele-monitoring system, as an initial trial to assess operative possibility in a full marathon. As a result, 3 out of 5 runners had reasonable measurement results and sufficient tele-monitoring without complications related to this trial was possible. However, many investigations and improvements, such as improving cost-effectiveness, reducing noise, and automating the monitoring system, are needed for practical application of these devices for athletes. As a next step, we would establish a novel strategy to reduce SCDs in athletes using next-generation devices, which include an alarm system associated with early application of AED. <Learning objectives: Sudden cardiac arrest (SCA) is a major problem in sports cardiology. Here we investigated a novel approach using a real-time tele-monitoring system of electrocardiogram (ECG) to prevent sudden cardiac deaths by making use of an advanced alarm system which responds to SCA risk. Three out of five cases we monitored showed reasonable measurement of ECG with centralized observation in full marathon. This is the first report of this method, which may lead to the effective application of automated external defibrillator in athletes.>.

    DOI: 10.1016/j.jccase.2019.03.008

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  • Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations Reviewed International journal

    Shoko Wakamiya, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma, Eiji Aramaki

    Journal of Medical Internet Research   21 ( 2 )   e12783   2019.2

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    BACKGROUND: The amount of medical and clinical-related information on the Web is increasing. Among the different types of information available, social media-based data obtained directly from people are particularly valuable and are attracting significant attention. To encourage medical natural language processing (NLP) research exploiting social media data, the 13th NII Testbeds and Community for Information access Research (NTCIR-13) Medical natural language processing for Web document (MedWeb) provides pseudo-Twitter messages in a cross-language and multi-label corpus, covering 3 languages (Japanese, English, and Chinese) and annotated with 8 symptom labels (such as cold, fever, and flu). Then, participants classify each tweet into 1 of the 2 categories: those containing a patient's symptom and those that do not. OBJECTIVE: This study aimed to present the results of groups participating in a Japanese subtask, English subtask, and Chinese subtask along with discussions, to clarify the issues that need to be resolved in the field of medical NLP. METHODS: In summary, 8 groups (19 systems) participated in the Japanese subtask, 4 groups (12 systems) participated in the English subtask, and 2 groups (6 systems) participated in the Chinese subtask. In total, 2 baseline systems were constructed for each subtask. The performance of the participant and baseline systems was assessed using the exact match accuracy, F-measure based on precision and recall, and Hamming loss. RESULTS: The best system achieved exactly 0.880 match accuracy, 0.920 F-measure, and 0.019 Hamming loss. The averages of match accuracy, F-measure, and Hamming loss for the Japanese subtask were 0.720, 0.820, and 0.051; those for the English subtask were 0.770, 0.850, and 0.037; and those for the Chinese subtask were 0.810, 0.880, and 0.032, respectively. CONCLUSIONS: This paper presented and discussed the performance of systems participating in the NTCIR-13 MedWeb task. As the MedWeb task settings can be formalized as the factualization of text, the achievement of this task could be directly applied to practical clinical applications.

    DOI: 10.2196/12783

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  • Change Detection in Vital Signs Associated with Impending Death for Homecare Patients Using a Pressure-Sensing Mat Reviewed International journal

    Takayuki Shuku, Noriko Sakano, Mizuki Morita, Shingo Kasahara

    European Journal for Biomedical Informatics   14 ( 1 )   52 - 57   2018.2

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    DOI: 10.24105/ejbi.2018.14.1.9

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  • Medical Attitudes Survey for Female Dystrophinopathy Carriers in Japan Reviewed International journal

    Michio Kobayashi, Tomoyuki Hatakeyama, Masatoshi Ishizaki, Katsuhito Adachi, Mizuki Morita, Naohiro Yonemoto, Tsuyoshi Matsumura, Itaru Toyoshima, En Kimura

    Internal Medicine   57 ( 16 )   2325 - 2332   2018

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    Language:English   Publishing type:Research paper (scientific journal)  

    File: advpub_0163-17.pdf

    DOI: 10.2169/internalmedicine.0163-17

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  • Effects of Cold Ischemia on RNA Stability and Quality of Lung Tissues Based on Standard PREanalytical Code Categorization Reviewed International journal

    Takehiro Matsubara, Shuta Tomida, Junichi Soh, Takahiro Uwabo, Yoshiko Mori, Mizuki Morita, Yasutomo Nasu, Susumu Kanazawa, Shinichi Toyooka

    Biopreservation and Biobanking   15 ( 5 )   484 - 486   2017.10

  • MedNLPDoc: Japanese Shared Task for Clinical NLP Reviewed International journal

    Eiji Aramaki, Yoshinobu Kano, Tomoko Ohkuma, Mizuki Morita

    Proceedings of the Clinical Natural Language Processing Workshop at the 26th International Conference on Computational Linguistics (COLING 2016)   13 - 16   2016.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    File: W16-4203.pdf

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  • Overview of the NTCIR-12 MedNLPDoc Task. Reviewed

    Eiji Aramaki, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma

    Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, National Center of Sciences, Tokyo, Japan, June 7-10, 2016   2016

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    Publisher:National Institute of Informatics (NII)  

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    Other Link: http://dblp.uni-trier.de/db/conf/ntcir/ntcir2016.html#conf/ntcir/AramakiMKO16

  • Antitumor effect of afatinib, as a human epidermal growth factor receptor 2-targeted therapy, in lung cancers harboring HER2 oncogene alterations Reviewed International journal

    Ken Suzawa, Shinichi Toyooka, Masakiyo Sakaguchi, Mizuki Morita, Hiromasa Yamamoto, Shuta Tomida, Tomoaki Ohtsuka, Mototsugu Watanabe, Shinsuke Hashida, Yuho Maki, Junichi Soh, Hiroaki Asano, Kazunori Tsukuda, Shinichiro Miyoshi

    Cancer Science   107 ( 1 )   45 - 52   2015.11

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1111/cas.12845

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  • Analysis for Clinical Data of Cardiac Disease using MDP model

    Masanori Shiro, Mizuki Morita, Toshihiro Kamishima, Kouichi Hashida, Shotaro Akaho, Hideki Asoh, Eiji Aramaki, Takahide Kohro, Kazuyuki Aihara, Issei Komuro, Ryozo Nagai

    SEISAN KENKYU   67 ( 3 )   281 - 285   2015.5

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    DOI: 10.11188/seisankenkyu.67.281

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  • Implementation of linked data in the life sciences at BioHackathon 2011 Reviewed

    Kiyoko F. Aoki-Kinoshita, Akira R. Kinjo, Mizuki Morita, Yoshinobu Igarashi, Yi-an Chen, Yasumasa Shigemoto, Takatomo Fujisawa, Yukie Akune, Takeo Katoda, Anna Kokubu, Takaaki Mori, Mitsuteru Nakao, Shuichi Kawashima, Shinobu Okamoto, Toshiaki Katayama, Soichi Ogishima

    Journal of Biomedical Semantics   6   3   2015.1

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    DOI: 10.1186/2041-1480-6-3

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  • Patient-centered medical and health information management and dynamic informed consent Invited

    Mizuki Morita

    情報管理   57 ( 1 )   3 - 11   2014.4

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    Medical and health information, including genetic information, can produce important benefits for both individuals and the public, but this extremely sensitive resource demands special care. Therefore, it is strictly controlled in hospitals and research institutes. Nevertheless, the environment around medical and health information has been changing drastically recently, with the introduction of new ideas. Those changes are expanding the area of personal information under control of patients and the public and are strengthening patient and public involvement in medical research. This paper presents perspectives on recent patient-centered medical and health information management, emphasizing dynamic consent (dynamic informed consent) and recent environmental changes.

    DOI: 10.1241/johokanri.57.3

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  • BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains. Reviewed

    Toshiaki Katayama, Mark D Wilkinson, Kiyoko F Aoki-Kinoshita, Shuichi Kawashima, Yasunori Yamamoto, Atsuko Yamaguchi, Shinobu Okamoto, Shin Kawano, Jin-Dong Kim, Yue Wang, Hongyan Wu, Yoshinobu Kano, Hiromasa Ono, Hidemasa Bono, Simon Kocbek, Jan Aerts, Yukie Akune, Erick Antezana, Kazuharu Arakawa, Bruno Aranda, Joachim Baran, Jerven Bolleman, Raoul JP Bonnal, Pier Luigi Buttigieg, Matthew P Campbell, Yi-an Chen, Hirokazu Chiba, Peter JA Cock, K Bretonnel Cohen, Alexandru Constantin, Geraint Duck, Michel Dumontier, Takatomo Fujisawa, Toyofumi Fujiwara, Naohisa Goto, Robert Hoehndorf, Yoshinobu Igarashi, Hidetoshi Itaya, Maori Ito, Wataru Iwasaki, Matúš Kalaš, Takeo Katoda, Taehong Kim, Anna Kokubu, Yusuke Komiyama, Masaaki Kotera, Camille Laibe, Hilmar Lapp, Thomas Lütteke, M Scott Marshall, Takaaki Mori, Hiroshi Mori, Mizuki Morita, Katsuhiko Murakami, Mitsuteru Nakao, Hisashi Narimatsu, Hiroyo Nishide, Yosuke Nishimura, Johan Nystrom-Persson, Soichi Ogishima, Yasunobu Okamura, Shujiro Okuda, Kazuki Oshita, Nicki H Packer, Pjotr Prins, Rene Ranzinger, Philippe Rocca-Serra, Susanna Sansone, Hiromichi Sawaki, Sung-Ho Shin, Andrea Splendiani, Francesco Strozzi, Shu Tadaka, Philip Toukach, Ikuo Uchiyama, Masahito Umezaki, Rutger Vos, Patricia L Whetzel, Issaku Yamada, Chisato Yamasaki, Riu Yamashita, William S York, Christian M Zmasek, Shoko Kawamoto, Toshihisa Takagi

    Journal of Biomedical Semantics   5   5   2014.2

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    DOI: 10.1186/2041-1480-5-5

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  • Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure.

    Mizuki Morita, Masanori Shiro, Shotaro Akaho, Hideki Asoh, Toshihiro Kamishima, Eiji Aramaki, Kôiti Hasida, Takahide Kohro

    2014 AAAI Spring Symposia   2014

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    Other Link: https://dblp.uni-trier.de/conf/aaaiss/2014

  • Comparing Social Media and Search Activity as Social Sensors for the Detection of Influenza Reviewed

    Mizuki Morita, Sachiko Maskawa, Eiji Aramaki

    Proceedings of the 5th International Symposium on Language in Biology and Medicine (LBM2013)   75 - 79   2013.12

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    Detecting the incidence and prevalence of infectious diseases is important because these diseases affect many people, raise the cost of healthcare, and, in some cases, can lead to a great many deaths. Recently, it has been shown that people&#039;s online activity can be applied to detecting the prevalence of influenza. In this study, we compare the characteristics of two kinds of online activities, social media and search activity, as the social sensors capable of supplying information on seasonal epidemics and an unexpected pandemic of influenza. Although both approaches showed quite high performance for the seasonal epidemics, they showed poor performance for the unexpected influenza pandemic. The social media-based approach particularly over-responded to the influenza pandemic.

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  • Difference between Patient Language and Medical Language : Toward a Medical Application Using a Record Written by a Patient(<Special Issue>Data Driven Self-Awareness)

    Aramaki Eiji, Maskawa Sachiko, Miyabe Mai, Morita Mizuki

    Journal of Japanese Society for Artificial Intelligence   28 ( 6 )   857 - 861   2013.11

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  • A Word in a Dictionary is used by Numerous Users Reviewed

    Eiji Aramaki, Sachiko Maskawa, Mai Miyabe, Mizuki Morita, Sachi Yasuda

    Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013)   874 - 877   2013.10

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  • Toxygates: interactive toxicity analysis on a hybrid microarray and linked data platform Reviewed International journal

    Johan Nystroem-Persson, Yoshinobu Igarashi, Maori Ito, Mizuki Morita, Noriyuki Nakatsu, Hiroshi Yamada, Kenji Mizuguchi

    Bioinformatics   29 ( 23 )   3080 - 3086   2013.9

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    DOI: 10.1093/bioinformatics/btt531

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  • Information and Communication Technologies for Minority Groups: Featuring Patients with Rare Disease Invited

    Mizuki Morita, Eiji Aramaki

    IPSJ Magazine   54 ( 8 )   834 - 840   2013.7

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  • Online population-based patient registry to collect and share health-related data of rare disease patients

    Mizuki Morita, Soichi Ogishima, Kunihiro Nishimura, Eiji Aramaki, Tateo Ito

    AAAI Spring Symposium - Technical Report   SS-13-03   65 - 66   2013

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  • Overview of the NTCIR-10 MedNLP Task. Reviewed

    Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma, Mai Miyabe, Eiji Aramaki

    Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR-10, National Center of Sciences, Tokyo, Japan, June 18-21, 2013   2013

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    Other Link: http://dblp.uni-trier.de/db/conf/ntcir/ntcir2013.html#conf/ntcir/MoritaKOMA13

  • Microblog-based Infectious Disease Detection using Document Classification and Infectious Disease Model Reviewed

    Eiji Aramaki, Sachiko Maskawa, Mizuki Morita

    Journal of Natural Language Processing   19 ( 5 )   419 - 435   2012.12

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    DOI: 10.5715/jnlp.19.419

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  • Blind prediction of quaternary structures of homo-oligomeric proteins from amino acid sequences based on templates Reviewed

    Mizuki Morita, Masanori Kakuta, Kentaro Shimizu, Shugo Nakamura

    Journal of Proteome Science & Computational Biology   1   1   2012.4

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    DOI: 10.7243/2050-2273-1-1

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  • Sagace: A web-based search engine for biomedical databases in Japan Reviewed

    Mizuki Morita, Yoshinobu Igarashi, Maori Ito, Yi-An Chen, Chioko Nagao, Yuki Sakaguchi, Ryuichi Sakate, Tohru Masui, Kenji Mizuguchi

    BMC Research Notes   5   604   2012

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    DOI: 10.1186/1756-0500-5-604

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  • Influenza patients are invisible in the web: Traditional model still improves the state-of-the-art web based influenza surveillance

    Eiji Aramaki, Sachiko Maskawa, Mizuki Morita

    AAAI Spring Symposium - Technical Report   SS-12-05   5 - 8   2012

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  • Lipid recognition propensities of amino acids in membrane proteins from atomic resolution data Reviewed

    Mizuki Morita, AVSK M. Katta, Shandar Ahmad, Takaharu Mori, Yuji Sugita, Kenji Mizuguchi

    BMC Biophysics   4 ( 1 )   21   2011.12

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    DOI: 10.1186/2046-1682-4-21

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  • Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter Streams Reviewed

    Eiji Aramaki, Sachiko Maskawa, Mizuki Morita

    Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011)   1568 - 1576   2011.7

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  • BUDDY-system: A web site for constructing a dataset of protein pairs between ligand-bound and unbound states Reviewed

    Mizuki Morita, Tohru Terada, Shugo Nakamura, Kentaro Shimizu

    BMC Research Notes   4   143   2011

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    DOI: 10.1186/1756-0500-4-143

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  • Prediction of carbohydrate-binding proteins from sequences using support vector machines Reviewed

    Seizi Someya, Masanori Kakuta, Mizuki Morita, Kazuya Sumikoshi, Wei Cao, Zhenyi Ge, Osamu Hirose, Shugo Nakamura, Tohru Terada, Kentaro Shimizu

    Advances in Bioinformatics   2010   289301   2010

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    DOI: 10.1155/2010/289301

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  • Structural bases of GM1 gangliosidosis and Morquio B disease Reviewed International journal

    Mizuki Morita, Seiji Saito, Kazuyoshi Ikeda, Kazuki Ohno, Kanako Sugawara, Toshihiro Suzuki, Tadayasu Togawa, Hitoshi Sakuraba

    Journal of Human Genetics   54 ( 9 )   510 - 515   2009.9

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    DOI: 10.1038/jhg.2009.70

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  • Added mass effect on immobilizations of proteins on a 27 MHz quartz crystal microbalance in aqueous solution Reviewed

    Hiroyuki Furusawa, Tomomitsu Ozeki, Mizuki Morita, Yoshio Okahata

    Analytical Chemistry   81 ( 6 )   2268 - 2273   2009.3

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    DOI: 10.1021/ac802412t

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  • Highly accurate method for ligand-binding site prediction in unbound state (apo) protein structures Reviewed International journal

    Mizuki Morita, Shugo Nakamura, Kentaro Shimizu

    Proteins: Structure, Function, and Bioinformatics   73 ( 2 )   468 - 479   2008.11

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    DOI: 10.1002/prot.22067

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  • Hydration and energy dissipation measurements of biomolecules on a piezoelectric quartz oscillator by admittance analyses Reviewed International journal

    Tomomitsu Ozeki, Mizuki Morita, Hiroshi Yoshimine, Hiroyuki Furusawa, Yoshio Okahata

    Analytical Chemistry   79 ( 1 )   79 - 88   2007.1

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    DOI: 10.1021/ac060873x

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▼display all

Books

  • ヒト生体試料・データ取扱い実践ハンドブック

    森崎 隆幸, 西原 広史, 宮地 勇人, 日本生物資源産業利用協議会, 荻島 創一, 明谷 早映子, 池田 淳子, 岡野 和広, 笠原 直子, 工藤 久智, 熊田 和貴, 高松 遼, 竹内 朋代, 鶴山 竜昭, 永家 聖, 中江 裕樹, 中嶋 祥人, 長神 風二, 根本 鮎子, 服部 功太郎, 藤井 紳一郎, 松下 一之, 水野 聖士, 三成 寿作, 峯岸 直子, 宮城 洋平, 森田 瑞樹( Role: Contributor ,  第2章, 第5章)

    羊土社  2023.8  ( ISBN:4758122652

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  • 日本人の疾患と健康のためのバイオバンクとデータベース活用法 : 試料と情報の的確な探し方と使い方

    後藤 雄一, 村上 善則, 高木 利久, 荻島 創一, 長神 風二, 相澤 弥生, 飯田 香緒里, 岡田 随象, 奧野 恭史, 春日 雅人, 門脇 孝, 鎌田 真由美, 木下 賢吾, 熊田 和貴, 小柴 生造, 柴田 龍弘, 庄嶋 伸浩, 鈴木 顕, 田宮 元, 徳永 勝士, 冨田 努, 豊岡 理人, 内藤 龍彦, 永家 聖, 中津井 雅彦, 成田 暁, 新飯田 俊平, 西原 広史, 秦 健一郎, 服部 功太郎, 平田 真, 増井 徹, 三島 博之, 水上 圭二郎, 宮本 恵宏, 桃沢 幸秀, 森田 瑞樹, 山内 敏正, 山本 雅之, 吉田 雅幸, 米村 滋人, 渡邉 俊樹( Role: Joint author ,  第2章 バイオバンクを使う:横断検索・手続き 3)バイオバンク横断検索)

    羊土社  2021.5  ( ISBN:9784758103947

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  • 動き始めたがんゲノム医療 : 深化と普及のための基礎研究課題

    油谷 浩幸, 石川 俊平, 竹内 賢吾, 間野 博行, 中釜 斉, 河野 隆志, 鎌田 真由美, 中津井 雅彦, 奥野 恭史, 高阪 真路, 柴田 龍弘, 齋藤 英子, 片野田 耕太, 矢野 聖二, 西田 純, 江幡 正悟, 宮園 浩平, 畠山 昌則, 衣斐 寛倫, 旦 慎吾, 三木 義男, 勝本 拓夫, 北林 一生, 弓本 佳苗, 中山 敬一, 曽我 朋義, 斎藤 優樹, 片岡 圭亮, 森 純一, 玉田 耕治, 西尾 和人, 坂井 和子, 大瀬戸 久美子, 永井 亜貴子, 武藤 香織, 吉田 輝彦, 森田 瑞樹, 荻島 創一, 西原 広史, 柳田 絵美衣, 松岡 亮介, 白石 友一, 岡田 愛, 落合 展, 千葉 健一, 鹿島 幸恵, 鈴木 絢子, 関 真秀, 鈴木 穣, 加藤 洋人, 森下 真一, 清水 大, 三森 功士, 加藤 護, 宮野 悟, 河村 大輔, 柳下 薫寛, 濱田 哲暢, 近藤 格, 利光 孝太, 佐藤 俊朗, 大島 正伸, 土原 一哉, 中川 英刀( Role: Joint author ,  第3章 倫理・遺伝カウンセリング 4. がんゲノム医療におけるプライバシー保護)

    羊土社  2018.9  ( ISBN:9784758103732

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  • The Reason Why Grow Jellyfish Won the Nobel Prize

    Young Researchers Society for Biochemistry( Role: Joint author ,  Part I)

    Nippon Hyoron Sha Co.,Ltd.  2009.4  ( ISBN:9784535786288

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    Total pages:210   Responsible for pages:11-41   Language:Japanese Book type:General book, introductory book for general audience

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MISC

  • 医療における大規模言語モデル(LLM)およびローカルLLM Invited

    森田 瑞樹

    人工知能   40 ( 3 )   361 - 366   2025.5

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  • 目線カメラの動画を用いた技師間の手技統一の試み:末梢血単核球(PBMC)分離操作での例

    福田 俊, 森田 瑞樹

    臨床検査   68 ( 2 )   212 - 215   2024.2

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    DOI: 10.11477/mf.1542203531

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  • デジタルバイオマーカーと皮膚疾患 Invited

    山根 卓大, 森田 瑞樹

    皮膚科   3 ( 5 )   604 - 610   2023.5

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  • 2022年度における「先進病院実習」の取り組み

    森田 瑞樹, 金山 直樹, 相田 敏明, 渡邉 豊彦, 山下 登, 袴田 玲, 吉葉 恭行

    3   77 - 84   2023.2

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  • 2021年度における「先進病院実習」の取り組み

    森田瑞樹, 兵藤好美, 日笠晴香, 堺健司, 金山直樹, 吉葉恭行

    統合科学   2   40 - 48   2022.3

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  • Biomarkers with digital technology and digital biomarkers for medication management Invited

    Mizuki Morita

    Drug Delivery System   37 ( 1 )   17 - 24   2022.1

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    If the therapeutic agent can be introduced into the patient's body at the optimal time and in the optimal dose, or if the optimal concentration can be maintained by doing so, it should be possible to provide a higher quality of care than is currently available. One strategy is to monitor the patient's condition and the concentrations of therapeutic agents in the body, and then to estimate the timing and dosage of medication. This paper describes the research and development of digital technology-based biomarkers and digital biomarkers for several diseases and conditions (diabetes, Parkinson's disease, asthma, COPD, pain, itch, hypertension) that are being implemented to optimize treatment.

    DOI: 10.2745/dds.37.17

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  • バイオバンク横断検索

    永家 聖, 森田 瑞樹, 平田 真

    実験医学増刊   39 ( 7 )   1058 - 1065   2021.4

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  • Efforts to promote utilization of biobanks in Japan

    Mizuki Morita

    Precision Medicine   4 ( 2 )   132 - 137   2021.2

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    File: PM_2021_02_055_森田瑞樹先生_amed_2.pdf

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  • Training Co-medical Staff with Basic Skills for Data Science

    Shuta Tomida, Mizuki Morita, Noriyuki Yamashita, Akira Hirasawa, Shinichi Toyooka

    YAKUGAKU ZASSHI   140 ( 5 )   657 - 661   2020.5

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    The development of specialized training programs for medical personnel, particularly nurses, clinical laboratory technicians, and pharmacists, is considered critical for the promotion of genomic medicine throughout Japan. Specifically, medical personnel skilled at analyzing and understanding high-throughput genomic data are in high demand. In this symposium, we will introduce the basic knowledge and skills necessary for processing genomic data.

    DOI: 10.1248/yakushi.19-00217-2

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  • バイオバンクを介した臨床検体の研究利用 Invited

    Mizuki Morita

    Modern Medical Laboratory   47 ( 10 )   1178 - 1180   2019.10

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    DOI: 10.11477/mf.1543207770

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  • 岡大バイオバンク:産官学の基礎研究と創薬研究を支援する基盤 Invited

    Mizuki Morita

    Journal of Industry-Academia-Government Collaboration   15 ( 9 )   6 - 10   2019.9

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  • がんゲノム医療におけるプライバシー保護 Invited

    Mizuki Morita, Soichi Ogishima

    Experimental Medicine   36 ( 15 )   2605 - 2610   2018.9

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  • Overview of the NTCIR-13 MedWeb Task.

    Shoko Wakamiya, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma, Eiji Aramaki

    NTCIR-13 conference   (vol) ( (num) )   (xxx) - (zzz)   2017.12

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  • Biobank Invited

    Mizuki Morita, Shinichi Toyooka

    J Okayama Med Assoc   128 ( 3 )   237 - 239   2016.12

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    DOI: 10.4044/joma.128.237

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  • A Linkage between Bio-resources and Patient Clinical Information; Shifting from Collection to Relationships

    医療情報学   36 ( Supplement 1 )   232‐234   2016.11

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  • 診療科横断的周術期管理による、呼吸器外科手術後の合併症対策

    牧 佑歩, 宗 淳一, 鳥越 英次郎, 黒崎 毅史, 三好 健太郎, 大谷 真二, 山本 寛斉, 杉本 誠一郎, 山根 正修, 大藤 剛宏, 森田 瑞樹, 豊岡 伸一, 三好 新一郎

    日本外科学会定期学術集会抄録集   116回   PS - 7   2016.4

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  • 情報登録システムを作るために インターネットを介して発見する患者ニーズについて

    中嶋 容子, 松村 剛, 大平 香織, 高田 博仁, 森田 瑞樹

    日本難病医療ネットワーク学会機関誌   3 ( 1 )   80 - 80   2015.11

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  • Application for chaotic timeseries based on a pseudo clinical data generator

    SHIRO Masanori, MORITA Mizuki

    IEICE technical report. Nonlinear problems   114 ( 484 )   17 - 21   2015.3

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    Useful pseudo data generator that is used in case that real data were not necessary in the medical and other fields, are discussed and partially implemented. The implementation consist of four parts included generating engine and interface layer to input difference equations with random variables. We used perl, python and some of free libraries for our system. Applying for actual uses, we will develop proposed filter programs for modifying time series in future.

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  • 国際協調に基づく臨床研究基盤としての神経筋疾患ナショナルレジストリーの活用と希少な難治性疾患への展開を目指した研究

    木村円, 中村治雅, 森まどか, 三橋里美, 南成祐, 水島洋, 森田瑞樹, 山下賢, 足立克仁, 高田博仁, 高橋俊明, 本吉慶史, 小林道雄, 園田至人, 齊藤利雄, 石崎雅俊, 貝谷久宣, 竹内芙実, 小松有希子, 杉本立夏, 鷹羽智子, 米本直裕, 村上てるみ, 松村剛, 白石一浩

    精神・神経疾患研究開発費による研究報告集(2年度班・初年度班) 平成26年度   2015

  • Q&Aサイトの質的内容分析による筋ジストロフィーについて患者・市民が知りたい情報の分析

    森田 瑞樹, 高祖 麻美, 竹内 芙実, 木村 円

    医療情報学連合大会論文集   34   534 - 537   2014.11

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  • 擬似臨床データ生成器の開発に向けた方法論の提案

    森田 瑞樹, 城 真範

    医療情報学連合大会論文集   34   898 - 901   2014.11

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  • 患者/クライエント/当事者による記録を活かす意見交換会の効果と今後の展開

    島本裕美子, 荒木健治, 石井保志, 上松幸一, 北嶋志保, 熊谷晋一郎, 櫻井公恵, 瀬戸山陽子, 高橋由光, 冨井美子, 堀里子, 西舘澄人, 森田瑞樹, 矢島弘士, 和田恵美子, 則のぞみ, 荒牧英治

    医療情報学連合大会論文集   34th   744 - 746   2014.11

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  • 難病医療ネットワークにおける匿名Webコミュニティ 医療現場で解消しきれなかった難病患者・未病者の悩みをどう捉えるか

    森田 瑞樹, 高祖 麻美, 竹内 芙実, 木村 円

    日本難病医療ネットワーク学会機関誌   2 ( 1 )   134 - 134   2014.11

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 J‐RARE.netの法的検討・整備

    安念潤司, 森田瑞樹, 西村邦裕, 荻島創一

    患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 平成25年度総括・分担研究報告書   71 - 72   2014

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 患者が主体となった患者レジストリJ‐RARE.netの機能

    西村邦裕, 荻島創一, 森田瑞樹

    患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 平成25年度総括・分担研究報告書   65 - 70   2014

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 JRARE.netの今後の運営についての検討

    荻島創一, 西村邦裕, 森田瑞樹

    患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 平成25年度総括・分担研究報告書   93 - 95   2014

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 患者が主体となった患者レジストリJ‐RARE.netの概要

    森田瑞樹, 荻島創一, 西村邦裕, 有馬隆博, 森崎隆幸, 鈴木登, 森まどか, 緒方勤, 平田恭信, 清水潤, 今井靖, 織田友理子, 猪井佳子, 永松勝利, 近藤健一, 谷口佳久

    患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 平成25年度総括・分担研究報告書   57 - 63   2014

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 患者主導の患者レジストリJ‐RARE.netとWE ARE HEREとの連携に関する研究

    西村邦裕, 荻島創一, 森田瑞樹

    患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 平成25年度総括・分担研究報告書   101 - 104   2014

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 患者レジストリの連携のあり方についての検討

    荻島創一, 西村邦裕, 森田瑞樹

    患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 平成25年度総括・分担研究報告書   97 - 99   2014

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  • 日本語カルテをアノテートする

    荒牧英治, 荒牧英治, 四方朱子, 島本裕美子, 久保圭, 宮部真衣, 大熊智子, 狩野芳伸, 狩野芳伸, 森田瑞樹

    言語処理学会年次大会発表論文集(Web)   20th   2014

  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 患者レジストリにて想定される患者記述文章の解析可能性に関する研究

    荒牧英治, 森田瑞樹

    患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 平成25年度総括・分担研究報告書   2014

  • 患者および患者支援団体等による研究支援体制の構築に関わる研究 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 患者レジストリの連携

    橋本操, 伊藤建雄, 森田瑞樹, 荻原創一, 荻原創一, 西村邦裕, 西村邦裕

    患者および患者支援団体等による研究支援体制の構築に関わる研究 平成25年度 総括・分担研究報告書 平成24-25年度 総合研究報告書   2014

  • 患者が主体となった希少疾患の患者レジストリ

    森田瑞樹, 荻島創一, 西村邦裕, 伊藤たてお

    臨床薬理   44 ( Supplement )   S211   2013.11

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 患者主体の患者レジストリで収集する項目に関する研究

    65 - 72   2013

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 患者が執筆した闘病記の医学的な利用可能性に関する研究

    73 - 75   2013

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 患者が主体となった患者レジストリに関する検討

    51 - 63   2013

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究 2.患者レジストリの構築にむけての研究 国内の患者レジストリを対象としたアンケート調査

    29-37,39-44   2013

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  • 頻出語ではなく使用者が多い語が自然な日本語である

    荒牧英治, 荒牧英治, 増川佐知子, 宮部真衣, 森田瑞樹, 森田瑞樹, 保田祥

    言語処理学会年次大会発表論文集(Web)   19th   2013

  • NTCIR-10“MedNLP”Pilot Task:医療分野の言語処理研究の環境整備に向けて

    森田瑞樹, 森田瑞樹, 狩野芳伸, 狩野芳伸, 大熊智子, 宮部真衣, 荒牧英治, 荒牧英治

    言語処理学会年次大会発表論文集(Web)   19th   2013

  • Average Japanese Vocabulary for Online Communication is 8,000 words

    ARAMAKI EIJI, MASUKAWA SACHIKO, MORITA MIZUKI, YASUDA SACHI

    情報処理学会研究報告(CD-ROM)   2012 ( 3 )   ROMBUNNO.NL-208,NO.9   2012.10

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  • ICPC-2コードの普及を志向した入力支援ツールの開発

    森田瑞樹, 荒牧英治

    日本プライマリ・ケア連合学会学術大会抄録集   3rd   2012

  • Enforcing k-anonymity for Texts

    荒牧英治, 荒牧英治, 増川佐知子, 宮部真衣, 森田瑞樹, 森田瑞樹

    情報処理学会研究報告(CD-ROM)   2012 ( 4 )   2012

  • アミノ酸配列からのタンパク質立体構造予測と4次構造予測

    中村周吾, 森田瑞樹, 角田将典

    生化学   ROMBUNNO.3S12A-4   2011

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  • Twitter Catches the Flu: Detecting Influenza Epidemics using Factuality Analysis

    荒牧英治, 増川佐知子, 森田瑞樹

    情報処理学会研究報告(CD-ROM)   2011 ( 1 )   2011

  • CASP8 Meeting Report Invited

    NAKAMURA Shugo, MORITA Mizuki, MOTONO Chie

    Seibutsu Butsuri   49 ( 3 )   151 - 152   2009.5

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    DOI: 10.2142/biophys.49.151

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Presentations

  • 電子カルテデータを利用した妊娠高血圧症候群の病型分類 Invited

    森田 瑞樹, 中野 利紀, 水野 聖士, 荻島 創一, 光井 崇, 三島 桜子, 増山 寿

    第77回日本産科婦人科学会学術講演会  2025.5.25  日本産科婦人科学会

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    Event date: 2025.5.23 - 2025.5.25

    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

    Venue:岡山県  

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  • 医療×自然言語処理は,発展しているのか? 日本語医療用自然言語処理研究の研究動向分析

    田中 寛之, 中野 利紀, 安道 健一郎, 森田 瑞樹, 荒牧 英治, 狩野 芳伸, 奥村 貴史

    情報処理学会第87回全国大会  2025.3.15  情報処理学会

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    Event date: 2025.3.13 - 2025.3.15

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:大阪  

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  • 生体試料取扱者を対象としたバイオリポジトリ技術管理士認定試験プログラムの開発

    池田 純子, 岡野 和広, 藤井 紳一郎, 中嶋 祥人, 三濹 惠子, 中江 裕樹, 小林 博幸, 根本 鮎子, 服部 功太郎, 竹内 朋代, 宮城 洋平, 松下 一之, 森田 瑞樹, 荻島 創一, 峯岸 直子, 森崎 隆幸

    第47回 日本分子生物学会年会  2024.11.29  日本分子生物学会

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    Event date: 2024.11.27 - 2024.11.29

    Language:Japanese   Presentation type:Poster presentation  

    Venue:福岡県  

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  • 遠隔採血の期待と課題に関する医師向けWebアンケート調査

    中江 了, 森田 瑞樹

    令和6年度日臨技中四国支部医学検査学会(第57回)  2024.11.3  日本臨床衛生検査技師会中四国支部

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    Event date: 2024.11.2 - 2024.11.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:鳥取県鳥取市  

    【背景と目的】現在の診療では、採血から検査結果が出るまでに待ち時間が生じることや、外注検査の結果が出てから再び通院を行うことが患者の負担となっている。そこで、これらの負担を解消するために「遠隔採血」という制度の検討が内閣府の事業で進められている。遠隔採血は、図に示すように、診療に先立ち患者が行きやすい場所・時間帯に事前に採血のみを済ませておき、診療時には検査結果が出ている状態で診療を受けられるという制度である。これによって診察までの待ち時間を短縮することができ、また通院を1回で済ませることができる。しかし、遠隔採血は日本で現在採用されている制度ではないため、どのように実現するか明確ではない。このため本研究の目的は、臨床現場で採血を行っている医師の視点からの遠隔採血への期待と課題、および具体的なユースケース(疾患や病態)を明らかにすることである。
    【方法】臨床現場で採血を実施している医師を対象としたWebアンケート調査を実施した。
    【結果】319人から回答を得た。このうち「遠隔採血を実現してほしい」と回答した医師は半数以上を占めていた。診療所(図の採血施設)と比べ、遠隔採血において採血を依頼する側(図の診療施設)になる大学病院・国公立病院・一般病院に勤務する医師で回答割合が高かった。想定される課題として、異常値が出た際の早急な対応、検体の取り扱い、小児や高齢の患者への対応などが挙げられた。また、遠隔採血のユースケースは、生活習慣病、慢性疾患、定期採血をしている患者、術前採血、検査結果が出るまでの時間がかかる外注検査などが挙げられた。
    【考察】遠隔採血の制度に期待をもつ医師は多かったが、勤務場所の違いにより期待には差がみられた。また、制度の実現に向けて解決しなければならない課題や、遠隔採血が適したユースケース(疾患・病態)を把握することができた。遠隔採血を現在の採血を負担に感じている患者にとってよりよい制度とするために、今後の制度設計へ反映し得る知見を得ることができた。

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  • インタビュー調査から見えてきた精神科訪問看護におけるICT利活用のニーズ

    坂本 年生, 森田 瑞樹

    第25回日本医療情報学会看護学術大会  2024.8.30  日本医療情報学会

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    Event date: 2024.8.30 - 2024.8.31

    Language:Japanese   Presentation type:Poster presentation  

    Venue:東京  

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  • 訪問看護における直接的なケアを補完するICT利活用のニーズ:SCATを用いた質的データ分析

    坂本 年生, 森田 瑞樹

    第29回日本在宅ケア学会学術集会  2024.8.25  日本在宅ケア学会

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    Event date: 2024.8.24 - 2024.8.25

    Language:Japanese   Presentation type:Poster presentation  

    Venue:鎌倉(神奈川県)  

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  • 回復過程の評価指標の検討:健常者を対象としたパイロット研究

    中田 優真登, 森田 瑞樹

    第18回日本臨床検査学教育学会学術大会  2024.8.24  日本臨床検査学教育学会

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    Event date: 2024.8.23 - 2024.8.24

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:新潟(新潟県)  

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  • バイオバンク自己点検票の改訂および持続的な運用体制の構築

    森田 瑞樹, 川野 竜太郎, 小原 有弘, 竹内 朋代, 田中 敏博, 永田 有希, 西原 広史, 服部 功太郎

    第9回クリニカルバイオバンク学会シンポジウム合同学術集会  2024.8.2  クリニカルバイオバンク学会

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    Event date: 2024.8.2 - 2024.8.3

    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

    Venue:仙台(宮城県)  

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  • バイオバンクの管理・運営の品質管理および生体試料の品質管理の向上に向けた取り組み

    森田 瑞樹, 川野 竜太郎, 小原 有弘, 竹内 朋代, 田中 敏博, 永田 有希, 西原 広史, 服部 功太郎

    第9回クリニカルバイオバンク学会シンポジウム合同学術集会  2024.8.2  クリニカルバイオバンク学会

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    Event date: 2024.8.2 - 2024.8.3

    Language:Japanese   Presentation type:Poster presentation  

    Venue:仙台(宮城県)  

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  • 試料の保管スペース確保のための取り組み

    江見 裕美, 石川 佳奈子, 石田 紀子, 岩木 麻希子, 大島 愛, 柴倉 美砂子, 清水 拓朗, 那須 遥, 福田 俊, 松原 岳大, 室﨑 眞奈, 山本 英喜, 森田 瑞樹, 豊岡 伸一

    第9回クリニカルバイオバンク学会シンポジウム合同学術集会  2024.8.2  クリニカルバイオバンク学会

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    Event date: 2024.8.2 - 2024.8.3

    Language:Japanese   Presentation type:Poster presentation  

    Venue:仙台  

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  • 岡山大学病院バイオバンクの現状とこれから

    清水 拓郎, 石川 佳奈子, 石田 紀子, 岩木 麻希子, 江見 裕美, 大島 愛, 柴倉 美砂子, 那須 遥, 福田 俊, 松原 岳大, 室﨑 眞奈, 山本 英喜, 森田 瑞樹, 豊岡 伸一

    第9回クリニカルバイオバンク学会シンポジウム合同学術集会  2024.8.2  クリニカルバイオバンク学会

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    Event date: 2024.8.2 - 2024.8.3

    Language:Japanese   Presentation type:Poster presentation  

    Venue:仙台  

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  • 遠隔採血の実現に向けた検討

    森田 瑞樹

    第52回中国四国医療情報学研究会  2024.3.9  日本医療情報学会 中国・四国支部会

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    Event date: 2024.3.8 - 2024.3.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:愛媛県  

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  • 岡山大学病院REDCapの緊急バージョンアップ時のCSV対応

    大島 礼子, 枝松 緑, 佐藤 仁美, 山本 満寿美, 倉本 宏美, 森田 瑞樹, 佐藤 善弘, 大野 彩, 四方 賢一

    日本臨床試験学会第15回学術総会  2024.3.9  日本臨床試験学会

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    Event date: 2024.3.7 - 2024.3.9

    Language:Japanese   Presentation type:Poster presentation  

    Venue:大阪府  

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  • 機械学習を用いたバイオマーカーの探索:肺がん術後予後予測の事例

    吉田 知世, 井上 優菜, 諏澤 憲, 豊 岡伸一

    第69回日本臨床検査医学会中国・四国支部総会 第164回日本臨床化学会中国支部例会・総会 第34回日本臨床化学会四国支部例会・総会 第20回合同地方会  2024.2.18 

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    Event date: 2024.2.17 - 2024.2.18

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:岡山県  

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  • 電子カルテのデータを利用した妊娠高血圧症候群患者の自動抽出と分類

    中野 利紀, 光井 崇, 三島 桜子, 谷 和祐, 水野 聖士, 荻島 創一, 増山 寿, 森田 瑞樹

    第69回日本臨床検査医学会中国・四国支部総会 第164回日本臨床化学会中国支部例会・総会 第34回日本臨床化学会四国支部例会・総会 第20回合同地方会  2024.2.18 

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    Event date: 2024.2.17 - 2024.2.18

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:岡山県  

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  • 地域における臨床検査技師の新しい働き方

    澤田 有希, 森田 瑞樹

    第2回日本地域医療学会学術集会  2023.12.16  日本地域医療学会

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    Event date: 2023.12.15 - 2023.12.17

    Language:Japanese   Presentation type:Poster presentation  

    Venue:三重県志摩市  

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  • An innovative attempt to assist REC procedure for the medical research involving samples and information held by national network

    Hiroko Terui-Kohbata, Fuji Nagami, Kinuko Ohneda, Takayuki Morisaki, Yuichi Goto, Hideyo Noiri, Hiroyuki Nishiyama, Manabu Muto, Mizuki Morita, Soichi Ogishima, Masayuki Yoshida

    2023.10.24 

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    Event date: 2023.10.23 - 2023.10.26

    Language:Japanese   Presentation type:Oral presentation (general)  

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    Other Link: https://cbi-society.jp/files/annual-meetings/2023/CBI2023_proceedings.pdf

  • 生体試料の取り扱い方 –標準化に向けた課題と解決策–

    竹内 朋代, 川野 竜太郎, 小原 有弘, 西原 広史, 森田 瑞樹

    第30回日本遺伝子診療学会大会・第8回クリニカルバイオバンク学会シンポジウム合同学術集会  2023.7.28 

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    Event date: 2023.7.29

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:千葉  

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  • バイオバンク推進につながる方策の検討 –情報公開拡充に着目して–

    倉田 真由美, 樋野村 亜希子, 井上 悠輔, 森田 瑞樹

    第30回日本遺伝子診療学会大会・第8回クリニカルバイオバンク学会シンポジウム合同学術集会  2023.7.29 

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    Event date: 2023.7.28 - 2023.7.29

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:千葉  

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  • 産学連携から考えるバイオバンク利活用の課題と解決策

    住田 能弘, 岩根 理, 神川 邦久, 森田 瑞樹

    第30回日本遺伝子診療学会大会・第8回クリニカルバイオバンク学会シンポジウム合同学術集会  2023.7.29 

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    Event date: 2023.7.28 - 2023.7.29

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:千葉  

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  • バイオバンク利活用に向けた課題の整理と解決策の提案

    森田 瑞樹, 井上 悠輔, 岩根 理, 神川 邦久, 川野 竜太郎, 倉田 真由美, 小原 有弘, 住田 能弘, 竹内 朋代, 西原 広史, 樋野村 亜希子

    第30回日本遺伝子診療学会大会・第8回クリニカルバイオバンク学会シンポジウム合同学術集会  2023.7.29 

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    Event date: 2023.7.28 - 2023.7.29

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:千葉  

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  • 作業者間での品質のばらつきを減らすための手技動画の活用

    福田 俊, 松原 岳大, 窪田 弥生, 那須 遥, 森田 瑞樹

    第30回日本遺伝子診療学会大会・第8回クリニカルバイオバンク学会シンポジウム合同学術集会  2023.7.28 

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    Event date: 2023.7.28 - 2023.7.29

    Language:Japanese   Presentation type:Poster presentation  

    Venue:千葉  

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  • 岡大バイオバンク:研究支援を加速するためのDXの推進

    松原 岳大, 江見 裕美, 石田 紀子, 岩木 麻希子, 窪田 弥生, 柴倉 美砂子, 那須 遥, 福田 俊, 室崎 眞奈, 山本 英喜, 冨田 秀太, 遠西 大輔, 平沢 晃, 森田 瑞樹, 豊岡 伸一

    第30回日本遺伝子診療学会大会・第8回クリニカルバイオバンク学会シンポジウム合同学術集会  2023.7.28 

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    Event date: 2023.7.28 - 2023.7.29

    Language:Japanese   Presentation type:Poster presentation  

    Venue:千葉  

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  • Information and Communication Technology Utilization Needs in Home Care Nursing: Analysis Using Steps for Coding and Theorization International conference

    Toshio Sakamoto, Mizuki Morita

    26th East Asian Forum of Nursing Scholars (EAFONS2023)  2023.3.10  Japan Association of Nursing Programs in Universities (JANPU)

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    Event date: 2023.3.10 - 2023.3.11

    Language:English   Presentation type:Poster presentation  

    Venue:Tokyo  

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  • JREC定期バリデーションを活用した岡山大学病院REDCapのバージョンアップのCSV対応

    大島 礼子, 枝松 緑, 佐藤 仁美, 山本 満寿美, 倉本 宏美, 川村 理奈, 中野 健一, 森田 瑞樹, 佐藤 善弘, 大野 彩, 四方 賢一

    日本臨床試験学会第14回学術総会  2023.2.9  日本臨床試験学会

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    Event date: 2023.2.9 - 2023.2.10

    Language:Japanese   Presentation type:Poster presentation  

    Venue:石川県  

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  • 臨床試験実施可能性調査における被験者候補の効率的な絞り込み手法の検討

    岡﨑 理紗, 奥田 浩人, 濱野 裕章, 難波 志穂子, 神川 邦久, 宇野 秀樹, 牛尾 聡一郎, 黒田 智, 座間味 義人, 狩野 光伸, 森田 瑞樹

    第43回日本臨床薬理学会  2022.12.2  日本臨床薬理学会

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    Event date: 2022.11.30 - 2022.12.3

    Language:Japanese   Presentation type:Poster presentation  

    Venue:横浜(神奈川)  

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  • 多職種連携による周術期管理の効果:後方視的観察研究による検討

    森田 瑞樹, 武市 颯希, 加門 真侑, 安原 隆雄, 田村 利枝, 森谷 翔太, 岩上 将夫, 森松 博史

    日本臨床麻酔学会 第42回大会  2022.11.11  日本臨床麻酔学会

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    Event date: 2022.11.11 - 2022.11.12

    Language:Japanese   Presentation type:Poster presentation  

    Venue:京都  

    岡山大学病院では手術件数が増加する中でも重篤な患者の手術をより安全・安心に行うために,多職種連携のチームによって術前評価・ 術中管理・術後疼痛管理などを行う周術期管理センター(通称PERIO)を2008年に開設した。PERIOによって患者の早期回復や在院日数の短縮などが期待されるが,これまでPERIO導入の評価は十分にできていなかった。そこで本研究では,PERIO導入の効果を定量的に明らかにすることを目的とし,DPCおよびPERIO台帳のデータを利用した後ろ向き観察研究を行なった。2011年から2017年までに脳神経外科(2014年にPERIOを開始)で手術を受けた患者を対象とし,PERIO導入前後の比較を単変量解析および差分の差分法(DID)によって行なった。評価項目は平均在院日数(全体,術前,術後),手術直前中止率,術後合併症発生率(肺炎,肺塞栓症,虚血性心疾患)とした。すべての項目でいずれの方法でも減少傾向が見られた。平均在院日数(全体)と平均在院日数(術前)はいずれの方法でも統計的な有意差が見られ(平均在院日数(全体)は単変量解析で2日減少,DIDで2.5日減少,いずれもP<0.05),術後合併症発生率はいずれの方法でも有意差が見られなかった。

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  • 生体試料の収集を伴う前向き臨床研究の支援とバイオバンク

    森田 瑞樹, 江見 裕美, 松原 岳大, 岩木 麻希子, 石田 紀子, 窪田 弥生, 柴倉 美砂子, 田中 慎一, 那須 遥, 福田 俊, 室﨑 真奈, 山本 英喜, 豊岡 伸一

    ARO協議会 第9回学術集会  2022.9.16  ARO協議会

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    Event date: 2022.9.16 - 2022.9.17

    Language:Japanese   Presentation type:Poster presentation  

    Venue:千葉,オンライン  

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  • バイオバンクが拓く未来の医療

    森田 瑞樹, 江見 裕美, 松原 岳大, 石田 紀子, 岩木 麻希子, 窪田 弥生, 柴倉 美砂子, 田中 慎一, 那須 遥, 福田 俊, 室﨑 真奈, 山本 英喜, 冨田 秀太, 遠西 大輔, 平沢 晃, 豊岡 伸一

    スーパーシティ・スマートシティフォーラム2022  2022.8.26  内閣府

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    Event date: 2022.8.26

    Language:Japanese  

    Venue:東京  

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  • 岡大バイオバンクの取り組み

    江見 裕美, 松原 岳大, 石田 紀子, 岩木 麻希子, 窪田 弥生, 柴倉 美砂子, 田中 慎一, 那須 遥, 福田 俊, 室崎 眞奈, 山本 英喜, 冨田 秀太, 遠西 大輔, 平沢 晃, 森田 瑞樹, 豊岡 伸一

    第7回クリニカルバイオバンク学会シンポジウム  2022.7.8  クリニカルバイオバンク学会

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    Event date: 2022.7.8 - 2022.7.9

    Language:Japanese   Presentation type:Poster presentation  

    Venue:岡山  

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  • 航空輸送中の放射線によるFFPE中のDNAの分解

    井上 博文, 山口 莉央, 山根 卓大, 笈田 将皇, 豊岡 伸一, 森田 瑞樹

    第7回クリニカルバイオバンク学会シンポジウム  2022.7.8  クリニカルバイオバンク学会

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    Event date: 2022.7.8 - 2022.7.9

    Language:Japanese   Presentation type:Poster presentation  

    Venue:岡山  

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  • Barriers to biobank utilization: Insights from the questionnaire survey Invited

    2022.7.8  Society of Clinical Biobank

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    Event date: 2022.7.8 - 2022.7.9

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:Okayama  

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  • 末梢血単核細胞(PBMC)の凍結保存における磁場・電磁波凍結機の効果

    松原 岳大, 髙木 美菜, 宗 淳一, 豊岡 伸一, 森田 瑞樹

    第7回クリニカルバイオバンク学会シンポジウム  2022.7.8  クリニカルバイオバンク学会

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    Event date: 2022.7.8 - 2022.7.9

    Language:Japanese   Presentation type:Poster presentation  

    Venue:岡山  

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  • Challenges in promoting utilization of biobanks in Japan Invited

    2022.7.7  The Japan Tissue Culture Association

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    Event date: 2022.7.7 - 2022.7.8

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:Osaka  

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  • History of Advanced Practice in a Hospital: a case report in our Graduate School International conference

    Yoshimi Hyodo, Mizuki Morita

    The 13th International Symposium for Future Technology Creating Better Human Health and Society  2022.2.3  Graduate School of Interdisciplinary Science and Engineering in Health Systems

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    Event date: 2022.2.3 - 2022.2.4

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Online  

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  • Challenges in Utilizing Biobanks and Efforts to Solve Them in Japan International conference

    Mizuki Morita, Yusukue Inoue, Makoto Iwane, Kamikawa, K, Mayumi Kurata, Arihiro Kohara, Yoshihiro Sumita, Tomoyo Takeuchi, Hiroshi Nishihara, Akiko Hinomura, Takayuki Morisaki, Seiya Imoto, Koichi Matsuda, Makoto Hirata, Hiroshi Yokota, Kichiya Suzuki, Kinuko Ohneda, Fuji Nagami, Satoshi Nagaie, Yoshihiro Miyamoto, Kotaro Hattori, Tsutomu Tomita, Eisei Noiri, Ryo Matsumura, Reiko Miyahara, Koji Kitajima, Kouya Shiraishi, Shin Kawano, Hiroki Nakae, Masayuki Yoshida, Hiroo Terui-Kohbata, Manabu Muto, Shigemi Matumoto, Johji Inazawa, Toshihiro Tanaka, Akira Takemoto, Hiroyuki Nishiyama, Toshihisa Takagi, Yoshinori Murakami, Yuichi Goto, Soichi Ogishima

    Europe Biobank Week 2021 (EBW2021)  2021.11.8  ESBB, BBMRI-ERIC

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    Event date: 2021.11.8 - 2021.11.10

    Language:English   Presentation type:Poster presentation  

    Venue:Online  

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  • 市民マラソンランナーの走行時持続心電図モニタリング Invited

    坂野 紀子, 平野 和也, 山根 卓大, 森田 瑞樹, 逢坂 大樹, 大澤 晋, 佐能 量雄, 笠原 真悟

    日本医療情報学会関西支部 2021年度 第1回講演会(秋の講演会)  2021.9.11  日本医療情報学会関西支部, 関西医療情報処理懇談会(KMI), 関西医療情報技師会

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    Event date: 2021.9.11

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:オンライン  

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  • バイオバンク利活用の課題解決に向けたパイロット調査 Invited

    森田 瑞樹, 井上 悠輔, 岩根 理, 神川 邦久, 倉田 真由美, 小原 有弘, 住田 能弘, 竹内 朋代, 西原 広史, 樋野村 亜希子

    第6回クリニカルバイオバンク学会シンポジウム  2021.5.29  クリニカルバイオバンク学会

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    Event date: 2021.5.29 - 2021.5.30

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:オンライン  

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  • Okadai Biobank: Biobank-as-a-Service in a University Hospital in Japan Invited International conference

    Mizuki Morita

    ISBER 2021 Annual Meeting  2021.5.11  The International Society for Biological and Environmental Repositories (ISBER)

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    Event date: 2021.5.10 - 2021.5.14

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Online  

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  • Update of Biobank Network for Promotion of Utilization of Biobank toward Realization of Genomic Medicine in Japan International conference

    Soichi Ogishima, Yoshinori Murakami, Yuichi Goto, Takayuki Morisaki, Seiya Imoto, Koichi Matsuda, Makoto Hirata, Hiroshi Yokota, Kichiya Suzuki, Fuji Nagami, Satoshi Nagaie, Yoshihiro Miyamoto, Kotaro Hattori, Tsutomu Tomita, Eisei Noiri, Ryo Matsumura, Reiko Miyahara, Koji Kitajima, Shin Kawano, Mizuki Morita, Hiroshi Nishihara, Hiroki Nakae, Masayuki Yoshida, Hiroo Kohbata, Manabu Muto, Shigemi Matumoto, Johji Inazawa, Toshihiro Tanaka, Akira Takemoto, Hiroyuki Nishiyama, Tomoyo Takeuchi, Toshihisa Takagi

    ISBER 2021 Annual Meeting  2021.5.10  The International Society for Biological and Environmental Repositories (ISBER)

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    Event date: 2021.5.10 - 2021.5.14

    Language:English   Presentation type:Poster presentation  

    Venue:Online  

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  • 活動量計を用いた日常生活動作の識別可能性の検討

    山﨑 由布, 中島 わかな, 山根 卓大, 森田 瑞樹

    第46回中国四国医療情報学研究会  2021.3.6  日本医療情報学会 中国四国支部

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    Event date: 2021.3.6

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

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  • マラソン中の心事故予防に向けた心電モニタリングシステムの開発

    笠原 真悟, 逢坂 大樹, 坂野 紀子, 森田 瑞樹, 珠玖 隆行, 大澤 晋

    第24回日本遠隔医療学会学術大会  2021.2.11  日本遠隔医療学会

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    Event date: 2021.2.11 - 2021.2.25

    Language:Japanese  

    Venue:群馬県,オンライン  

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  • Minimum Common Data Elements of Biospecimen Quality Information for Biobank Network in Japan International conference

    Mizuki Morita, Kotaro Hattori, Ryo Matsumura, Koji Kitajima, Reiko Miyahara, Eisei Noiri, Makoto Hirata, Seiya Imoto, Shin Kawano, Satoshi Nagaie, Toshihisa Takagi, Yuichi Goto, Yoshinori Murakami, Soichi Ogishima

    ISBER 2020 Virtual Symposium  2020.10  ISBER, UHN Biospecimen Services

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    Event date: 2020.10.22 - 2020.10.23

    Language:English   Presentation type:Poster presentation  

    Venue:Online  

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  • Biobank Network for Promotion of Utilization of Biobank toward Realization of Genomic Medicine in Japan International conference

    Soichi Ogishima, Yoshinori Murakami, Yuichi Goto, Takayuki Morisaki, Seiya Imoto, Koichi Matsuda, Makoto Hirata, Hiroshi Yokota, Kichiya Suzuki, Fuji Nagami, Satoshi Nagaie, Yoshihiro Miyamoto, Tsutomu Tomita, Eisei Noiri, Ryo Matsumura, Reiko Miyahara, Koji Kitajima, Shin Kawano, Mizuki Morita, Hiroshi Nishihara, Hiroki Nakae, Masayuki Yoshida, Hiroko Kohbata, Manabu Muto, Shigemi Matsumoto, Johji Inazawa, Toshihiro Tanaka, Akira Takemoto, Hiroyuki Nishiyama, Tomoyo Takeuchi, Toshihisa Takagi

    ISBER 2020 Virtual Symposium  2020.10  ISBER, UHN Biospecimen Services

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    Event date: 2020.10.22 - 2020.10.23

    Language:English   Presentation type:Poster presentation  

    Venue:Online  

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  • Minimum Common Data Elements of Cancer-specific Clinical Information and Consent Information for the Biobank Network in Japan International conference

    Satoshi Nagaie, Makoto Hirata, Kotaro Hattori, Ryo Matsumura, Koji Kitajima, Reiko Miyahara, Eisei Noiri, Seiya Imoto, Shin Kawano, Mizuki Morita, Toshihisa Takagi, Yuichi Goto, Yoshinori Murakami, Soichi Ogishima

    ISBER 2020 Virtual Symposium  2020.10  ISBER, UHN Biospecimen Services

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    Event date: 2020.10.22 - 2020.10.23

    Language:English   Presentation type:Poster presentation  

    Venue:Online  

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  • GA4GH DURI Work Stream in GEM Japan 2020; localizing the Data Use Ontology and Machine-Readable Consent in the local research community International conference

    Chisato Yamasaki, Satoshi Nagaie, Minae Kawashima, Chihiro Hata, Shuichi Kawashima, Yuichi Kodama, Mizuki Morita, Natsuko Yamamoto, Akio Nagano, Keiko Katsui, Takako Takai, Soichi Ogishima

    GA4GH 8th Plenary Meeting  2020.9.29  Global Alliance for Genomics and Health (GA4GH)

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    Event date: 2020.9.29 - 2020.9.30

    Language:English   Presentation type:Poster presentation  

    Venue:Online  

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  • Heart rate monitoring in full marathon for preventing critical cardiac accidents

    Noriko Sakano, Daiki Ousaka, Kazuya Hirano, Takahiro Yamane, Mizuki Morita, Takayuki Shuku, Susumu Oozawa, Kazuo Sanou, Shingo Kasahara

    The 59th Annual Conference of Japanese Society for Medical and Biological Engineering  2020.5.26  Japanese Society for Medical and Biological Engineering

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    Event date: 2020.5.25 - 2020.5.27

    Language:Japanese   Presentation type:Poster presentation  

    Venue:Okayama  

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  • ウエアラブル心拍計によるマラソンランナーの心事故予防のための自己スクリーニング法の試み 〜新しい心電図自己スクリーニングシステムの構築にむけて〜

    坂野 紀子, 逢坂 大樹, 平野 和也, 森田 瑞樹, 珠玖 隆行, 大澤 晋, 佐能 量雄, 笠原 真悟

    2020.1.18  一般社団法人日本遠隔医療学会

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    Event date: 2020.1.18 - 2020.1.19

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:東京  

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  • 市民マラソンでの遠隔モニタリングを用いた安全安心の循環管理

    笠原 真悟, 坂野 紀子, 大澤 晋, 逢坂 大樹, 森田 瑞樹, 珠玖 隆行, 佐能 量雄

    日本遠隔医療学会学術大会プログラム・抄録集  2019.10  (一社)日本遠隔医療学会

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    Event date: 2019.10

    Language:Japanese  

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  • バイオバンク横断検索によるバイオバンク・ネットワークの構築

    長神 風二, 村上 善則, 後藤 雄一, 平田 真, 井元 清哉, 松田 浩一, 森崎 隆幸, 宮本 恵宏, 服部 功太郎, 冨田 努, 森田 瑞樹, 横田 博, 鈴木 吉也, 河野 信, 中江 裕樹, 西原 広史, 武藤 学, 松本 繁巳, 鶴山 竜昭, 稲澤 譲治, 田中 敏博, 竹本 暁, 西山 博之, 竹内 朋代, 高木 利久, 荻島 創一

    第5回クリニカルバイオバンク学会シンポジウム  2019.7.5  クリニカルバイオバンク学会

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    Event date: 2019.7.5 - 2019.7.7

    Language:Japanese   Presentation type:Poster presentation  

    Venue:福岡  

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  • Research and Development of Biobank Network and Operational Support for Promotion of Utilization of Biobank toward Realization of Genomic Medicine Invited International conference

    Soichi Ogishima, Yoshinori Murakami, Yuichi Goto, Makoto Hirata, Seiya Imoto, Koichi Matsuda, Yoshihiro Miyamoto, Takayuki Morisaki, Mizuki Morita, Fuji Nagami, Hiroki Nakae, Hiroshi Nishihara, Kichiya Suzuki, Hiroshi Yokota, Toshihisa Takagi

    ISBER 2019 Annual Meeting and Exhibits  2019.5.7  ISBER

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    Event date: 2019.5.7 - 2019.5.10

    Language:English   Presentation type:Poster presentation  

    Venue:Shanghai  

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  • Training Co-medical Staffs with Basic Skills for Data Science

    2019.3.23  The Pharmaceutical Society of Japan

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    Event date: 2019.3.20 - 2019.3.23

    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

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  • チームアプローチで実現するゲノム医療と薬剤師の役割 ゲノム医療におけるデータサイエンティストの役割と育成

    冨田 秀太, 森田 瑞樹, 山下 範之, 平沢 晃, 豊岡 伸一

    日本薬学会年会要旨集  2019.3  (公社)日本薬学会

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    Event date: 2019.3

    Language:Japanese  

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  • 電子カルテのLSTMによる自動匿名化と手法間およびデータセット間の比較

    梶山 晃平, 堀口 裕正, 奥村 貴史, 森田 瑞樹, 狩野 芳伸

    第1回日本メディカルAI学会学術集会  2019.1.25  日本メディカルAI学会

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    Event date: 2019.1.25 - 2019.1.26

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:東京  

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  • 退院サマリの自由記載は何を書くことが望ましいのか:文献レビュー

    森田 瑞樹, 奥村 貴史, 狩野 芳伸, 堀口 裕正

    第38回日本医療情報学連合大会  2018.11.24  日本医療情報学会

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    Event date: 2018.11.20 - 2018.11.25

    Language:Japanese   Presentation type:Poster presentation  

    Venue:福岡  

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  • 病院併設型の研究基盤(バイオバンク)で経験するELSI課題

    Mizuki Morita

    2018.9.19 

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    Event date: 2018.9.19 - 2018.9.21

    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

    Venue:Tsuruoka (Yamagata)  

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  • 岡山大学における病院併設型バイオバンクの機能と役割

    2018.8.30 

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    Event date: 2018.8.30 - 2018.9.1

    Language:Japanese   Presentation type:Poster presentation  

    Venue:Fukuoka (Fukuoka)  

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  • 腫瘍浸潤リンパ球(TIL)を含んだ腫瘍解離細胞(DTC)の保存

    渡邊 元嗣, 高橋 優太, 冨田 秀太, 宗 淳一, 松原 岳大, 難波 圭, 佐藤 博紀, 森田 瑞樹, 枝園 和彦, 山本 寛斉, 鵜殿 平一郎, 豊岡 伸一

    日本がん免疫学会総会プログラム・抄録集  2018.7  日本がん免疫学会

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    Event date: 2018.7

    Language:Japanese  

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  • センサーマットの時系列バイタルサインに基づく看取り時期の予測

    珠玖 隆行, 坂野 紀子, 森田 瑞樹, 笠原 慎吾

    第37回日本医療情報学連合大会  2017.11.22  日本医療情報学会

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    Event date: 2017.11.20 - 2017.11.23

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:大阪  

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  • Minimum common data set in cross-biobank search across biobanks in Japan International conference

    Mizuki Morita, Makoto Hirata, Shinobu Ikeda, Shuta Tomida, Seiya Imoto, Soichi Ogishima

    Global Biobank Week  2017.9.14  BBMRI-ERIC, ESBB, ISBER

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    Event date: 2017.9.13 - 2017.9.15

    Language:English   Presentation type:Poster presentation  

    Venue:Stockholm  

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  • ゲノム医療におけるバイオバンクの役割

    森田 瑞樹

    第23回日本遺伝子細胞治療学会学術集会  2017.7.22  日本遺伝子細胞治療学会

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    Event date: 2017.7.20

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:岡山  

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  • バイオリソースと診療情報との結合 収集から連携へ

    美代 賢吾, 小南 亮太, 渡辺 浩, 森田 瑞樹, 荻島 創一, 島貫 秀之

    医療情報学連合大会論文集  2016.11  (一社)日本医療情報学会

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    Event date: 2016.11

    Language:Japanese  

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  • 岡山大学におけるがんクリニカルシークエンスの臨床実装 -抗がん剤適応遺伝子検査外来

    母里 淑子, 田端 雅弘, 西森 久和, 久保 寿夫, 枝園 和彦, 森田 瑞樹, 冨田 秀太, 江見 裕美, 峠 和美, 豊岡 伸一

    第2回クリニカルバイオバンク研究会シンポジウム  2016.7.24  クリニカルバイオバンク研究会

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    Event date: 2016.7.23 - 2016.7.24

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:北海道  

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  • 岡山大学病院バイオバンクにおけるインシデントレポートの導入

    江見 裕美, 田中 朋子, 森田 瑞樹, 峠 和美, 冨田 秀太, 宗 淳一, 豊岡 伸一

    第2回クリニカルバイオバンク研究会シンポジウム  2016.7.24  クリニカルバイオバンク研究会

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    Event date: 2016.7.23 - 2016.7.24

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:北海道  

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  • Detection of EGFR mutations in circulating cell-free DNA of non-small cell lung cancer patients by next-generation sequencing

    Ken Suzawa, Shuta Tomida, Takahiro Matsubara, Kadoaki Ohashi, Yuho Maki, Hiromasa Yamamoto, Mizuki Morita, Junichi Soh, Hiroaki Asano, Kazunori Tsukuda, Katuyuki Kiura, Shinichiro Miyoshi, Shinichi Toyooka

    CANCER RESEARCH  2016.7 

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    Event date: 2016.7

    Language:English  

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  • 診療科横断的周術期管理による、呼吸器外科手術後の合併症対策

    牧 佑歩, 宗 淳一, 鳥越 英次郎, 黒崎 毅史, 三好 健太郎, 大谷 真二, 山本 寛斉, 杉本 誠一郎, 山根 正修, 大藤 剛宏, 森田 瑞樹, 豊岡 伸一, 三好 新一郎, 牧 佑歩, 宗 淳一, 鳥越 英次郎, 黒崎 毅史, 三好 健太郎, 大谷 真二, 山本 寛斉, 杉本 誠一郎, 山根 正修, 大藤 剛宏, 森田 瑞樹, 豊岡 伸一, 三好 新一郎

    第116回日本外科学会定期学術集会  2016.4.15  日本外科学会

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    Event date: 2016.4.14 - 2016.4.16

    Language:Japanese   Presentation type:Poster presentation  

    Venue:大阪  

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  • 検体検査システムとバイオバンクシステムの連携

    川下 隆二, 岡田 健, 大塚 文男, 江見 裕美, 森田 瑞樹, 宗 淳一, 豊岡 伸一, 森永 裕士, 合地 明

    平成27年度大学病院情報マネジメント部門連絡会議  2016.1.28 

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    Event date: 2016.1.27 - 2016.1.29

    Language:Japanese   Presentation type:Poster presentation  

    Venue:長崎  

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  • 診療科横断的周術期管理による,呼吸器外科手術後の合併症対策

    牧佑歩, 宗淳一, 鳥越英次郎, 黒崎毅史, 三好健太郎, 大谷真二, 山本寛斉, 杉本誠一郎, 山根正修, 大藤剛宏, 森田瑞樹, 豊岡伸一, 三好新一郎

    日本外科学会定期学術集会(Web)  2016 

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    Event date: 2016

    Language:Japanese  

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  • 非ビタミンK阻害経口抗凝固薬の有効性と安全性に関する臨床疫学研究

    大島礼子, 小山敏広, 座間味義人, 小川愛子, 森田瑞樹, 冨田秀太, 樋之津史郎, 狩野光伸

    日本計量生物学会年会講演予稿集  2016 

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    Event date: 2016

    Language:Japanese  

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  • 国際協調に基づく臨床研究基盤としての神経筋疾患ナショナルレジストリーの活用と希少な難治性疾患への展開を目指した研究

    木村円, 中村治雅, 森まどか, 三橋里美, 南成祐, 水島洋, 森田瑞樹, 山下賢, 足立克仁, 高田博仁, 高橋俊明, 本吉慶史, 小林道雄, 園田至人, 齊藤利雄, 石崎雅俊, 貝谷久宣, 竹内芙実, 小松有希子, 杉本立夏, 鷹羽智子, 米本直裕, 村上てるみ, 松村剛, 白石一浩

    精神・神経疾患研究開発費による研究報告集(2年度班・初年度班) 平成26年度  2015 

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    Event date: 2015

    Language:Japanese  

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  • 患者/クライエント/当事者による記録を活かす意見交換会の効果と今後の展開

    島本裕美子, 荒木健治, 石井保志, 上松幸一, 北嶋志保, 熊谷晋一郎, 櫻井公恵, 瀬戸山陽子, 高橋由光, 冨井美子, 堀里子, 西舘澄人, 森田瑞樹, 矢島弘士, 和田恵美子, 則のぞみ, 荒牧英治

    医療情報学連合大会論文集  2014.11.6 

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    Event date: 2014.11.6

    Language:Japanese  

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  • 受診理由のコーディング支援ツールの開発

    森田 瑞樹, 篠原(山田) 恵美子, 宮部 真衣, 荒牧 英治

    医療情報学連合大会論文集  2012.11 

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    Event date: 2012.11

    Language:Japanese  

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  • 2PT101 Protein-Ligand Binding Site Prediction by Using Energy-based Method with Amino Acid Conservation Scores(The 50th Annual Meeting of the Biophysical Society of Japan)

    Tsujikawa Hiroto, Umeda Yusuke, Morita Mizuki, Nakamura Shugo, Shimizu Kentaro

    Seibutsu Butsuri  2012  The Biophysical Society of Japan General Incorporated Association

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    Event date: 2012

    Language:English  

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  • バイオバンクでの長期保存生体試料の品質管理標準化のための予備的検討

    山本 英喜, 松原 岳大, 森田 瑞樹, 冨田 秀太, 豊岡 伸一, 平沢 晃

    第66回 日本臨床検査医学会学術集会  2019.11.21  日本臨床検査医学会

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    Venue:岡山  

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  • 臨床現場と情報系研究者の間からこんにちは Invited

    森田 瑞樹

    第18回情報科学技術フォーラム(FIT2019)  2019.9.5  電子情報通信学会, 情報・システムソサイエティ(ISS), ヒューマンコミュニケーショングループ(HCG), 情報処理学会

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    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

    Venue:岡山大学(岡山)  

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  • がんゲノム医療におけるアノテーションの比較検討 〜N-of-OneとWatson for Genomics~

    Natsumi Yoda, Shuta Tomida, Mizuki Morita, Shinichi Toyooka

    2019.7.5  Society of clinical biobank

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  • 市民マラソンにおける持続心電図モニタリングの可能性

    坂野 紀子, 大澤 晋, 逢坂 大樹, 森田 瑞樹, 珠玖 隆行, 佐能 量雄, 笠原 真悟

    第58回日本生体医工学会大会  2019.6.6  日本生体医工学会

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    Language:Japanese   Presentation type:Poster presentation  

    Venue:沖縄コンベンションセンター(沖縄)  

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  • バイオバンクにおける臨床検体の品質管理 Invited

    森田 瑞樹

    JKiCセミナー  2019.3.12  JSR・慶應義塾大学医学化学イノベーションセンター

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    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:慶應義塾大学  

    医学・生物学の70%以上の論文は結果が再現できないと言われている。原因の1つに臨床検体の品質がある。つまり,臨床検体の採取・処理・保管・輸送などの各工程をどのように管理するかが重要である。臨床検査においては以前より品質管理の取り組みが進められてきたが,近年は遺伝子関連検査における品質管理も注目を集めている。本講演では,臨床検体を大規模に扱うバイオバンクにおける品質管理について紹介する。

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    Mizuki Morita

    The 37th Annual Scientific Meeting of The Japanese Society of Clinical Pharmacology and Therapeutics  2016.12.2 

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    Language:Japanese   Presentation type:Symposium, workshop panel (public)  

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  • カルテの文章を医療ビッグデータとして活用するために Invited

    森田 瑞樹

    医療科学研究所(第7回)医療経済研究会  2016.11.28 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

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  • A Linkage between Bio-resources and Patient Clinical Information: Shifting from Collection to Relationships

    Kengo Miyo, Ryota Kominami, Hiroshi Watanabe, Mizuki Morita, Soichi Ogishima, Hideyuki Shimanuki

    The 36th Joint Conference on Medical Informatics (JCMI)  2016.11.24 

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    Language:Japanese   Presentation type:Symposium, workshop panel (public)  

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  • Proposal for a Standard Search API to Find Similar Clinical Cases and Related Clinical Trials in Cancer Genome Medicine

    Mizuki Morita, Yoshinobu Igarashi, Shin Kawano, Chioko Nagao, Kenji Mizuguchi

    The 36th Joint Conference on Medical Informatics (JCMI)  2016.11.23 

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  • 創薬・疾患研究のためのデータベース検索システムSagace

    長尾 知生子, 五十嵐 芳暢, 森田 瑞樹, 陳 怡安, 深川 明子, 坂手 龍一, 水口 賢司

    トーゴーの日シンポジウム2016  2016.10.6 

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  • がん個別化医療における診療支援のための情報共有に向けた提案

    森田 瑞樹, 五十嵐 芳暢, 河野 信, 長尾 知生子, 水口 賢司

    トーゴーの日シンポジウム2016  2016.10.5 

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  • Clinical Biobank

    2016.8.29 

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    Venue:Toyonaka (Osaka)  

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  • Overview of the NTCIR-12 MedNLPDoc Task International conference

    Eiji Aramaki, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma

    The 12th NTCIR Conference (NTCIR-12)  2016.6.10 

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  • 情報登録システムを作るために:インターネットを介して発見する患者ニーズについて

    中嶋 容子, 松村 剛, 大平 香織, 高田 博仁, 森田 瑞樹

    第3回日本難病医療ネットワーク学会学術集会  2015.11.13  日本難病医療ネットワーク学会

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    Venue:仙台国際センター(宮城県)  

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  • 創薬・疾患研究のためのデータベース検索システムSagace & Toxygates

    長尾 知生子, 五十嵐 芳暢, 森田 瑞樹, 陳 怡安, 深川 明子, 坂手 龍一, 水口 賢司

    トーゴーの日シンポジウム2015  2015.10.6 

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  • -

    Mizuki Morita

    2015.10.4 

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    Venue:Okayama  

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  • 岡山大学病院バイオバンクにおける取り組み

    2015.9.19 

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    Venue:Bunkyo-ku (Tokyo)  

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  • - Invited

    Mizuki Morita

    2015.9.12 

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    Venue:Kobe  

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  • -

    Mizuki Morita, Yoshiko Tomii, Hiroshi Yajima

    2015.9.6 

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    Venue:Fukuoka  

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  • Overview of the NTCIR-11 MedNLP-2 Task International conference

    Eiji Aramaki, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma

    The 11th NTCIR Conference (NTCIR-11)  2014.12.12 

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  • BARY at the NTCIR-11 MedNLP-2 Task for complaints and diagnosis recognition International conference

    Yusuke Matsubara, Mizuki Morita, Hasida Kôiti

    The 11th NTCIR Conference (NTCIR-11)  2014.12.12 

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  • 難病医療ネットワークにおける匿名Webコミュニティ:医療現場で解消しきれなかった難病患者・未病者の悩みをどう捉えるか

    Mizuki Morita, Asami Koso, Fumi Takeuchi, En Kimura

    2014.11.14  The Japanese Society of Medical Networking for Intractable Diseases (JSMNID)

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  • Analysis on information that patients and public would want to know about muscular dystrophy (MD) through qualitative content analysis of Q&A

    Mizuki Morita, Asami Koso, Fumi Takeuchi, En Kimura

    The 34th Joint Conference on Medical Informatics (JCMI34)  2014.11.7  Japan Association for Medical Informatics

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  • Toxygates: トキシコゲノミクスデータ解析プラットフォームの実装

    2014.7.2  The Japanese Society of Toxicology

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  • Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure International conference

    Mizuki Morita, Masanori Shiro, Shotaro Akaho, Toshihiro Kamishima, Hideki Asoh, Eiji Aramaki, Koiti Hasida, Takahide Kohro

    AAAI Spring Symposium 2014  2014.3.24 

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    Venue:San Francisco (USA)  

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  • Implementation Systems of Natural Language Processing and Data structure for Medical Texts

    Mai Miyabe, Mizuki Morita, Eiji Aramaki

    2013.11 

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    Venue:Kobe (Japan)  

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  • Toward Easy to use Medical Natural Language Processing Application

    Eiji Aramaki, Mizuki Morita, Tetsuaki Nakamura, Yumiko Shimamoto, Mai Miyabe

    2013.11 

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    Venue:Kobe (Japan)  

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  • -

    Mizuki Morita

    The 2nd Joint Conference on Informatics in Biology, Medicine and Pharmacology  2013.10.30 

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    Venue:Tokyo (Japan)  

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  • MedNLP Track at NII Test Collection for Information Retrieval (NTCIR) 2012-13 and 2013-14 Invited International conference

    Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma, Eiji Aramaki

    ShARe/CLEF eHealth 2013  2013.9.24 

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    Venue:Valencia (Spain)  

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  • Overview of the NTCIR-10 MedNLP Task International conference

    Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma, Mai Miyabe, Eiji Aramaki

    The 10th NTCIR Conference (NTCIR-10)  2013.6.20 

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    Venue:Tokyo (Japan)  

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  • Online Population-based Patient Registry to Collect and Share Health-related Data of Rare Disease Patients International conference

    Mizuki Morita, Soichi Ogishima, Kunihiro Nishimura, Eiji Aramaki, Tateo Ito

    AAAI Spring Symposium 2013  2013.3.27 

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    Venue:San Francisco (USA)  

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    2013.3.3 

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    Venue:Tokyo (Japan)  

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  • Enforcing k-anonymity for Texts

    Eiji Aramaki, Sachiko Maskawa, Mai Miyabe, Mizuki Morita

    IPSJ SIG Notes  2012.11 

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    The exponential growth in the amount of text data requires a method of a text de-identification. So far, most of de-identification methods detect the named entities, such as a person name, location name, IDs and so on, from the texts, and remove them. However, the named entity based methods suffer from a case that non-named entity conveys the personal information. To deal with this problem, this study proposes a new de-identification method that removes document specific expressions. By using this method, possible expression in a document appears in at least other k-1 documents. The experimental results demonstrated that 84% of the health record texts and 37% of the technical papers are preserved after enforcing k-anonymity. This paper also proposes a method to estimate a preservation ratio of the proposed text k-anonymity.

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  • Protein-Ligand Binding Site Prediction by Using Energy-based Method with Amino Acid Conservation Scores

    Hiroto Tsujikawa, Yusuke Umeda, Mizuki Morita, Shugo Nakamura, Kentaro Shimizu

    Biophysics  2012.8 

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  • Influenza Patients are Invisible in the Web International conference

    Eiji Aramaki, Sachiko Maskawa, Mizuki Morita

    AAAI Spring Symposium 2012  2012.3 

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    Venue:San Francisco (USA)  

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  • Linked Rare Disease Data (LRDD): linking rare disease data for open innovations International conference

    Soichi Ogishima, Satoshi Mizuno, Mizuki Morita, Masataka Kikuchi, Hiroshi Tanaka

    The 7th International Conference on Rare Disease and Orphan Drugs (ICORD 2012)  2012.2.5 

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    Venue:Tokyo (Japan)  

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  • Data integration on rare disease and orphan drug with open source drug discovery database International conference

    Kazuyoshi Ikeda, Mizuki Morita, Kazuki Ono, Yo Terada, Yukiko Nishimura

    The 7th International Conference on Rare Disease and Orphan Drugs (ICORD 2012)  2012.2.5 

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    Venue:Tokyo (Japan)  

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  • Orphan drug and medical device development promotion system in Japan International conference

    Mizuki Morita, Akane Hashimoto, Kazuyoshi Ikeda, Masasumi Shida, Hirofumi Kusunoki, Takako Kitamado

    The 7th International Conference on Rare Disease and Orphan Drugs (ICORD 2012)  2012.2.5 

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    Venue:Tokyo (Japan)  

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  • Twitter Catches the Flu: Detecting Influenza Epidemics using Factuality Analysis

    Eiji Aramaki, Sachiko Maskawa, Mizuki Morita

    IPSJ SIG Notes  2011.5 

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    With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We address the problem of detecting influenza epidemics. First, the proposed system extracts the influenza related tweets using Twitter API. Then, the SVM based classifies extracts only tweets that include real influenza patients. The experiments demonstrated the feasibility of the proposed approach (0.89 of the correlation to the gold standard). Especially in the rise of the influenza (early stage of the epidemics), the proposed method shows the high accuracy (0.97 correlation), which is the same accuracy to the state-of-the-art method. This paper demonstrated that Twitter texts reflect the real world, and Natural Language Processing (NLP) technique could extracts the information.

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  • ウェブからの疾病情報の大規模かつ即時的な抽出手法

    荒牧 英治, 森田 瑞樹, 篠原(山田, 恵美子, 岡 瑞起

    言語処理学会 第17回年次大会(NLP2011)  2011.3.10 

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    Venue:豊橋技術科学大学(愛知県)  

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  • Development of a database for exploring membrane protein conformations International conference

    Mizuki Morita, A. V. S, K. Mohan Katta, Shandar Ahmad, Kenji Mizuguchi

    Biochemical Society Annual Symposium - Recent advances in membrane biochemistry  2011.1.6 

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    Venue:Cambridge (UK)  

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  • Development of structure prediction server and model quality assessment platform for proteins

    Nakamura Shugo, Morita Mizuki, Kakuta Masanori, Shimizu Kentaro

    Biophysics  2010.8 

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  • An accurate modeling of the protein-membrane complex structures

    Mori Takaharu, Morita Mizuki, Ahmad Shandar, Mizuguchi Kenji, Sugita Yuji

    Biophysics  2010.8 

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  • Development of protein-ligand complex's database considering biological units

    Ikezawa Hiroki, Morita Mizuki, Shimizu Kentaro

    Biophysics  2009.9 

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  • 水晶発振子上で振動させられるタンパク質の水中での挙動と物性比較

    古澤 宏幸, 小関 智光, 森田 瑞樹, 岡畑 恵雄

    第89回日本化学会春季年会  2009.3.30  日本化学会

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    Venue:日本大学理工学部船橋キャンパス(千葉県)  

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  • タンパク質立体構造を用いたリガンド結合部位の予測 Invited

    森田 瑞樹

    第43回 CBRCセミナー  2008.12.18 

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    Venue:産総研臨海副都心センター(東京都)  

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  • High Accuracy Prediction of Ligand-binding Sites on Protein Structures with i-SITE International conference

    Mizuki Morita, Shugo Nakamura, Kentaro Shimizu

    The 2nd Taiwan-Japan Young Researchers Conference on Computational and Systems Biology  2008.11.4 

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    Venue:Tokyo (Japan)  

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  • i-SITE: Energy-based Method for Predicting Ligand-binding Sites on Protein Structures International conference

    Mizuki Morita, Shugo Nakamura, Kentaro Shimizu

    The 16th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2008)  2008.7.20 

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    Venue:Toronto (Canada)  

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  • Prediction and analysis of protein interactions International conference

    Masanori Kakuta, Kazuya Sumikoshi, Mizuki Morita, Satoshi Yamasaki, Ryuchiro Ishitani, Tohru Terada, Shugo Nakamura, Kentaro Shimizu

    Frontier of Microbial and Plant Biotechnology in Environmental and Life Science  2007.12.6 

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    Venue:Tokyo (Japan)  

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  • Predicting Ligand Binding Sites of Uncharacterized Protein International conference

    Mizuki Morita, Shugo Nakamura, Kentaro Shimizu

    The 17th International Conference on Genome Informatics (GIW 2006)  2006.12.18 

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    Venue:Yokohama (Japan)  

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  • Development of a Protein Tertiary Structure Prediction Server International conference

    Shugo Nakamura, Mizuki Morita, Masanori Kakuta, Kentaro Shimizu

    The 5th EABS & BSJ East Asian Biophysics Symposium (EABS & BSJ 2006) and the 44th Annual Meeting of the Biophysical Society of Japan  2006.11.14 

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    Venue:Okinawa (Japan)  

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  • Predicting Ligand Binding Sites of Uncharacterized Protein Structure International conference

    Mizuki Morita, Shugo Nakamura, Kentaro Shimizu

    The 5th EABS & BSJ East Asian Biophysics Symposium (EABS & BSJ 2006) and the 44th Annual Meeting of the Biophysical Society of Japan  2006.11.13 

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    Venue:Okinawa (Japan)  

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  • Predicting ligand binding sites of uncharacterized protein structure International conference

    Morita Mizuki, Nakamura Shugo, Shimizu Kentaro

    Biophysics  2006.10 

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  • Development of a protein tertiary structure prediction server International conference

    Nakamura Shugo, Morita Mizuki, Kakuta Masanori, Shimizu Kentaro

    Biophysics  2006.10 

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  • マンノース6-リン酸受容体の発現調製と水晶発振子上での結合挙動の観察

    森田 瑞樹, 重松 秀樹, 千葉 靖典, 岡畑 恵雄

    第85回日本化学会春季年会  2005.3.28  日本化学会

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    Venue:神奈川大学横浜キャンパス(横浜県)  

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  • マンノース6-リン酸受容体の発現調製と分子認識

    森田 瑞樹, 重松 秀樹, 岡畑 恵雄

    第84回日本化学会春季年会  2004.3.28  日本化学会

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    Venue:関西学院大学西宮上ケ原キャンパス(兵庫県)  

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  • 水晶発振子を用いた生体分子の粘弾性測定

    森田 瑞樹, 古澤 宏幸, 岡畑 恵雄

    第18回生体機能関連化学部会・第7回バイオテクノロジー部会合同シンポジウム  2003.10.13  日本化学会 生体機能関連化学部会・バイオテクノロジー部会

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    Venue:熊本大学工学部(熊本県)  

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Research Projects

  • スマートウォッチによる睡眠時無呼吸症候群(SAS)の検査の確立に向けた検討

    2023.12 - 2024.03

    岡山大学  医療・ヘルスケア領域での社会実装を見据えた異分野融合型シーズ開発チャレンジ事業 

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\1000000 ( Direct expense: \1000000 )

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  • 遠隔診療の拡大に向けた遠隔採血における規制改革の実証調査

    2023.07 - 2024.03

    内閣府  先端的サービスの開発・構築や先端的サービス実装のためのデータ連携等に関する調査事業 

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\25075446 ( Direct expense: \23910774 、 Indirect expense:\1164702 )

    中山間地域においては、少子高齢化に伴う地域の診療所の減少等により、高齢者等が診察を受けるために長時間かけて都市部の病院等に通わざるを得ない状況が生じている。特に血液検査が必要な症状の場合には、採血と診察のため2回の通院が必要となり、本人及びその家族の負担となっている。
    このような課題を解決するため、本事業では、吉備中央町において、町内で採血を実施し、その検査結果を都市部の病院等での診察(対面又はオンライン)に活用する、「遠隔採血」のスキームを検証するとともに、必要な規制改革についても提案を行う。

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  • バイオバンクの利活用促進に向けた高品質な管理・運営体制の構築

    Grant number:23kk0305023h0001  2023.04 - 2026.03

    日本医療研究開発機構  ゲノム創薬基盤推進研究事業(ゲノム情報研究の医療への実利用を促進する研究) 

    森田 瑞樹, 小原 有弘, 竹内 朋代, 田中 敏博, 西原 広史, 服部 功太郎

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  • Development of database with spatial multi-omics analyses of COPD for the determinant of pathogenesis and drug discoveries

    Grant number:21tm0724603h0001  2021.12 - 2022.03

    Japan Agency for Medical Research and Development  ゲノム医療実現バイオバンク利活用プログラム 

    遠西 大輔, 冨田 秀太, 冨樫 庸介, 宮原 信明, 枝園 和彦, 森田 瑞樹, 小賀 徹

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    Authorship:Coinvestigator(s)  Grant type:Competitive

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  • Evaluation of exercise tolerance with low-intensity exercise using wearable devices

    Grant number:21K12787  2021.04 - 2024.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    森田 瑞樹, 頼 冠名, 森本 美智子

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    Grant amount:\4290000 ( Direct expense: \3300000 、 Indirect expense:\990000 )

    本研究では,医療機関における臨床検査としてではなく,日常生活の中で運動能力(ここでは「運動耐容能」とする)を評価できる方法の確立を目的とする。このための要件として,歩行などの強度の低い運動において運動耐容能が評価できること,医療機器ではなく一般に普及したウェアラブル機器を用いて測定・評価ができることを挙げた。運動耐容能の評価は高強度の運動で行われているが,この結果は運動強度に依存する。そこで,低い強度で運動耐容能を評価するには,①運動強度に依存しない指標を発見して運動耐容能を評価するという,②運動強度や運動の種類を同時に測定・推定して運動耐容能を補正するという,という2つの戦略を考えた。前者によるアプローチを試み,それが困難だと考えられた場合には後者をあらためて検討することとした。
    はじめに,運動に伴って計測した生体情報から,運動強度に依存しない運動耐容能の評価指標の作成を検討した。健常者を対象として3つの強度の運動を行ってもらい,経時的に生体情報(脈拍,経皮的動脈血酸素飽和度)を取得した。得られた生体情報から複数の指標を計算し,運動強度によって差があるか確認した。運動は体動の影響を小さくするためにリカンベントバイクを用いて行ったが,対象者によっては測定値のノイズが大きく,指標の計算が安定して行えないと判断した。
    次に,様々な行動・運動を生体情報を用いて識別する方法を検討した。健常者に9種類の行動・運動(歩行,走行,階段昇降,座位,立位,仰臥位,着替え,歯磨き,荷物移動)を行ってもらい,腕と腰に装着した機器によって加速度を取得し,このデータから機械学習によって行動の識別を試みた。腕と腰の両方に装着した場合に,6種類の行動を妥当な精度で識別することができた。一方,腕だけに装着した場合には3種類,腰だけに装着した場合には4種類の行動であった。

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  • Development of a novel artificial intelligence related predictive algorism to detect a fatal electrocardiographic changes leading to a critical accident during marathon

    Grant number:21K08107  2021.04 - 2024.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    笠原 真悟, 森田 瑞樹, 藤井 泰宏, 平井 健太, 逢坂 大樹, 諸岡 健一, 坂野 紀子

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    Grant amount:\4160000 ( Direct expense: \3200000 、 Indirect expense:\960000 )

    本研究では、マラソン心事故予防に向けた致死性不整脈の予知アルゴリズム構築に取り組んでいる。研究課題は大きく3つに分けられる。①ヒトでのマラソン時心電図取得、②ブタでの不整脈誘発試験、③各データの解析、AI処理、である。まず初年度は、①と②に取り組み、①では論文発表(Ousaka.D, et al. Heart Vessels. 2022 Mar;37(3):443-450. )につなげ、更に、新規マラソン大会でのデータ取得を計画している(NTTテクノクロスとの共同による)。2021年度はコロナの影響で大会が中止となったが、2022年度は開催予定のため準備を進めている。②では当初の計画通り、ブタを用いた不整脈誘発試験を行い、致死性不整脈(心室細動)の記録取得に成功した。ただし、症例数が少ないため、引き続きデータ取得を継続する予定である。

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  • A survey study of critical factors affecting utilization of biospecimen in biobanks

    2020.08 - 2023.03

    Japan Agency for Medical Research and Development  ゲノム創薬基盤推進研究事業 

    Mizuki Morita, Yusuke Inoue, Kunihisa Kamikawa, Mayumi Kurata, Arihiro Kohara, Tomoyo Takeuchi, Hiroshi Nishihara

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    Authorship:Principal investigator  Grant type:Competitive

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  • 高校生用自傷リスク質問票の開発を踏まえた自傷予防レジリエンス促進プログラムの構築

    Grant number:20H04029  2020.04 - 2024.03

    日本学術振興会  科学研究費助成事業  基盤研究(B)

    石田 実知子, 森田 瑞樹, 中原 貴子, 片岡 浩巳, 山形 真由美, 江口 実希, 坂本 年生, 大井 悠成, 國方 弘子

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    Grant amount:\13910000 ( Direct expense: \10700000 、 Indirect expense:\3210000 )

    令和4年度は、高校生に対する自傷予防に向けたレジリエンス促進プログラムの効果を調べるために、心理教育に重点をおいた介入とマインドフルネス呼吸法に重点をおいた介入の2つの方法で実施した。
    心理教育に重点をおいた介入は、高校1年66名を対象に認知行動療法をベースに2週間毎に1回45分、計3回の介入授業を実施した。授業は、①心理的ストレスの理解②信頼関係を構築するスキル③自分の強みに気づくこと、援助希求の向上を主題とし、各回の授業前後にマインドフルネス呼吸法を行った。効果検討は、ポジティブ気分、ネガティブ気分、レジリエンス、自傷について質問紙調査を実施した。結果、ポジティブ気分、レジリエンスは介入前後で上昇し、効果の維持が認められた。ネガティブ気分は、事後では低減したが、効果の維持は認められなかった。また、自傷の介入効果は認められなかった。マインドフルネス呼吸法に重点をおいた介入は、高校3年生6名を対象に4週間週3回集団で実施した。プログラムは、マインドフルネスの知識と呼吸法に関する10分間のビデオを最初に視聴し、その後、介入期間中にマインドフルネス呼吸法に関する指導ビデオの部分を再視聴しながらマインドフルネス呼吸法を実践する(1回5分)構成とした。効果の評価は、介入前と介入後、介入終了1ヵ月後に気分、レジリエンス、反芻について質問紙調査を実施した。その結果、レジリエンスは介入前後で上昇し、1か月後も効果の維持が認められた。また、気分は、介入前後のみ改善がみられ、反芻については効果が認められなかった。
    両介入方法は、気分とレジリエンスの向上に有効であり、不快な気分を軽減し、健全な成長をサポートするために役立つことが示された。

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  • 人工知能による深層学習を応用した運動障害性咀嚼障害の多軸診断支援システムの開発

    Grant number:20K10071  2020.04 - 2023.03

    日本学術振興会  科学研究費助成事業 基盤研究(C)  基盤研究(C)

    大野 彩, 窪木 拓男, 森田 瑞樹, 菊谷 武, 百田 龍輔

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    Grant amount:\4420000 ( Direct expense: \3400000 、 Indirect expense:\1020000 )

    本研究では、①咀嚼運動をセンサー付きカメラで撮影した画像から評価できる「運動性咀嚼機能評価プロトコール」を開発し,信頼性・妥当性を確認すること,②開発した「運動性咀嚼機能評価プロトコール」を用いて,咀嚼障害患者および正常咀嚼者の撮影および診断を行い,教師データを収集すること,そして,③教師データを人工知能学習に供し,人工知能による運動障害性咀嚼障害診断システムを開発することを目的としている.摂食時に撮影した画像から咀嚼・嚥下運動の評価を行うために,本年度は開発を進めてきた撮影用アプリケーションを利用し,撮影を開始した.そして撮影結果を用いて,運動評価の精度検証および人工知能学習を開始している.
    これまでに撮影した画像から運動データの精度検証を行い,撮影角度や撮影時間の最適化を行った.そして,それらの情報を元に撮影用アプリケーションの改修を行った.また,撮影時に即時データ収集する最適座標を絞り,即時データ収集用サーバーの構築を行った.そして,主に外来に通院可能な健常高齢者を対象とし,開発した撮影用アプリケーションを利用したデータ収集を開始している.また,身長,体重,体組成データ,全身疾患,身体・認知機能,栄養状態,食形態,摂取食品,摂取カロリー,義歯の使用状況,グミゼリー咀嚼機能検査,臼歯部移送試験,舌圧測定,オーラルディアドコキネシス,生活環境,家族構成,食事時間等のデータ収集を行っている.

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  • Research and development of biobank network and operational support for promotion of utilization of biobank toward realization of genomic medicine

    2018.10 - 2023.03

    Japan Agency for Medical Research and Development  ゲノム医療実現推進プラットフォーム事業(ゲノム研究プラットフォーム利活用システム) 

    Soichi Ogishima, Hiroshi Yokota, Kichiya Suzuki, Fuji Nagami, Yoshinori Murakami, Koichi Matsuda, Takayuki Morisaki, Seiya Imoto, Yuichi Goto, Yoshihiro Miyamoto, Eisei Noiri, Toshihisa Takagi, Mizuki Morita, Hiroshi Nishihara, Hiroki Nakae

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    Authorship:Coinvestigator(s)  Grant type:Competitive

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  • Evaluation of various methods of phenotyping from the health insurance claims data

    2017.04 - 2019.03

    Ministry of Education, Culture, Sports, Science and Technology  Grants-in-Aid for Scientific Research (Grant-in-Aid for Scientific Research (C)) 

    HIRAMATSU Tatsuo

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    Grant type:Competitive

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  • クリニカルバイオバンクデータベースの横断検索プロトタイプ構築

    2016.12 - 2018.02

    Japan Agency for Medical Research and Development  Platform Program for Promotion of Genome Medicine 

    OGISHIMA Soichi

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    Grant type:Competitive

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  • 電子カルテ情報をセマンティクス(意味・内容)の標準化により分析可能なデータに変換するための研究(H28-ICT-一般-007)

    2016.10 - 2019.03

    厚生労働省  厚生労働科学研究費補助金 臨床研究等ICT基盤構築・人工知能実装研究事業 

    堀口 裕正

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    Grant type:Competitive

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  • 国際協調に基づく臨床研究基盤としての神経筋疾患ナショナルレジストリーの活用と希少な難治性疾患への展開を目指した研究

    2014 - 2016

    National Center of Neurology and Psychiatry  Intramural Research Grant for Neurological and Psychiatric Disorders 

    KIMURA En

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    Grant type:Competitive

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  • 患者団体等が主体的に運用する疾患横断的な患者レジストリのデータの収集・分析による難病患者のQOL向上及び政策支援のための基礎的知見の収集

    2014

    Ministry of Health Labour and Welfare (MHLW)  Health Labour Sciences Research Grant 

    OGISHIMA Soichi

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    Grant type:Competitive

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  • 総合診療の実態解明に向けた受診理由の解析手法の開発

    2013.11 - 2014.10

    The Health Care Science Institute  Research Grants 

    MORITA Mizuki

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    Authorship:Principal investigator  Grant type:Competitive

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  • テキストの安全な匿名化に関する研究

    2013 - 2015

    Ministry of Education, Culture, Sports, Science and Technology (MEXT)  Grants-in-Aid for Scientific Research (Grant-in-Aid for Challenging Exploratory Research) 

    ARAMAKI Eiji

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    Grant type:Competitive

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  • Toward identifying principles in drug repositioning: analyses of poly-indication drugs

    Grant number:24700300  2012 - 2014

    Ministry of Education, Culture, Sports, Science and Technology  Grants-in-Aid for Scientific Research (Grant-in-Aid for Young Scientists (B))  若手研究(B)

    MORITA Mizuki

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\3380000 ( Direct expense: \2600000 、 Indirect expense:\780000 )

    Aiming at identifying principles and rules allowing drug repositioning, characterizations of all drugs currently prescribed in hospitals in Japan were performed. The following major points were explored in this study: the distribution of diseases that the same drug can be applied to, the distribution of drugs that can be used in the same disease, the characterization of disease combinations that the same drugs can be applied to, and the characterization of drugs that can be applied to many diseases.

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  • 患者支援団体等が主体的に難病研究支援を実施するための体制構築に向けた研究

    2012 - 2013

    Ministry of Health Labour and Welfare  Health Labour Sciences Research Grant 

    ITO Tateo

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    Grant type:Competitive

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  • Ligand binding sites on the surface of protein quaternary structures

    Grant number:21700321  2009 - 2010

    Ministry of Education, Culture, Sports, Science and Technology  Grants-in-Aid for Scientific Research (Grant-in-Aid for Young Scientists (B))  若手研究(B)

    Mizuki MORITA, 池澤 弘貴

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\1820000 ( Direct expense: \1400000 、 Indirect expense:\420000 )

    Protein-ligand interaction is a basic process underlying diverse biological phenomena. The ultimate goal of this project is to reveal how the location of ligand binding sites on protein surface have been selected in the course of evolution. We have developed a dataset of protein quaternary structures with ligands. We then have taken the statistics of the location of ligand binding sites, and have analyzed the relationships between the location and geometric feature of the ligand binding site, protein dynamics and protein function, respectively.

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  • Special Lecture on Genome Pathology (2024academic year) Late  - 月2

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Social Activities

  • プライマリ・ケアにおけるAI利用ガイドライン

    日本プライマリ・ケア連合学会  2023.12.31

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    Type:Other

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  • 多様な研究を支える研究基盤としてのバイオバンク

    Role(s):Panelist, Lecturer

    岡山大学大学院ヘルスシステム統合科学研究科  サイエンス・カフェ2022  オンライン(Zoom)  2022.11.19

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    Audience: High school students, College students, General

    Type:Lecture

    「ヘルスシステム統合科学」を覗いてみよう
    第1回「一人ひとりにあった医療をどう実現するか?–工学研究者と病院の現場の連携–」

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  • Biomarkers (genomic, molecular and cellular) and digital biomarkers, etc. (imaging, digital, etc.)

    Role(s):Advisor

    Chugai Pharmaceutical Co., Ltd.  PLUS CHUGAI Medical Affairs  2021.11.15

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    Type:Internet

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  • ソフトウェア「TakeCARE」によるICPC自動コーディング

    Role(s):Lecturer

    日本プライマリ・ケア連合学会 診療データベース委員会  ICPC(プライマリ・ケア国際分類)オンラインセミナー  オンライン  2021.3.21

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    Type:Seminar, workshop

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  • 技術の森

    Role(s):Appearance

    RSKラジオ  朝耳らじお5.5  2021.3.3

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    Type:TV or radio program

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  • 明日の医療をつくるひと

    Role(s):Lecturer

    岡山大学大学院ヘルスシステム統合科学研究科  2020年度市民講演会 私の/私たちのいのちとヘルス(健康)  オンライン  2021.2.21

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    Audience: General

    Type:Lecture

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  • -

    Role(s):Panelist

    Council for Industrial use of Biological and Environmental Repositories (CIBER)  2020.9.18

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    Audience: Researchesrs, General, Scientific, Company, Governmental agency

    Type:Seminar, workshop

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  • 世界を変える「バイオバンク」 –「岡大バイオバンク」と医学・創薬研究を支える基盤の明日–

    Role(s):Lecturer

    岡山大学研究推進機構  第74回SDGs岡大サイエンスカフェ  2019.11.8

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    Audience: High school students, College students, Graduate students, General

    Type:Science cafe

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