Updated on 2022/08/19

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

  • Protein

  • 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

  • デジタルバイオマーカー

 

Papers

  • 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)   Publisher:Japanese Society for Medical and Biological Engineering (JSMBE)  

    Cardiac arrest has been reported during participation in several sports. Of these sports, marathon running is a particularly popular sport but imposes high cardiac load. Indeed, its popularity has been growing worldwide. Risk of cardiac arrest during marathon races is also expected to increase. Several studies have recorded electrocardiographic (ECG) information during marathon races to protect athletes from cardiac arrest. Although evaluable ECG data have been obtained and analyzed, cost-effectiveness of the system, data quality, and clinical significance remain inadequate. This report is the first to describe an economical electrocardiograph built into a T-shirt for use during marathon race. Twenty healthy runners aged 20 to 59 years (mean 36 years) wore the ECG device while running. The ECG data were monitored and analyzed to assess the observed frequencies of specified arrhythmias and the sections of the marathon in which the arrhythmias occurred. Of the ECG data obtained from 14 runners who completed the full marathon, six ECG datasets were evaluable. In some runners, there was inadequate contact between the electrode and body surface or poor Bluetooth connection between the ECG wireless transmitter and smartphone. Regarding arrhythmia analysis, all evaluable data that were analyzed showed some rhythm fluctuations. In conclusion, this economical T-shirt type ECG sensor provided evaluable ECG data during marathon races, although the evaluable rate was not high. The data were used to analyze specified arrhythmias, but some difficulties were encountered. The ECG sensor did not function properly because of a system error. The ECG sensor was not adequately moistened to record ECGs accurately. Moreover, some runners chose an unsuitable shirt size, which impaired the stability and strength of the electrode–skin contact. These shortcomings produced noise in the ECG data, which made it difficult to analyze arrhythmias. The next step will be to solve these problems and acquire data from a large number of runners.

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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   443 - 450   2022.3

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

    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   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   23648   2021.11

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

    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   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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  • 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   23回   64 - 64   2019.10

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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

    臨床病理   67 ( 補冊 )   283 - 283   2019.10

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    Language:Japanese   Publisher:(一社)日本臨床検査医学会  

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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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  • 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   139年会 ( 1 )   264 - 264   2019.3

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    Language:Japanese   Publisher:(公社)日本薬学会  

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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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  • 【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】(第3章)倫理・遺伝カウンセリング がんゲノム医療におけるプライバシー保護

    森田 瑞樹, 荻島 創一

    実験医学   36 ( 15 )   2605 - 2610   2018.9

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    Language:Japanese   Publisher:(株)羊土社  

    がんゲノム医療およびそのための基礎研究は、患者の臨床データやゲノムデータの解析を伴い、ときにそれは大規模に行われる。データの漏洩やプライバシーの侵害は、患者・家族および社会にとってはもちろん懸案事項であるが、医療や研究に従事する関係者が故意もしくは過失によりそれらを引き起こす可能性もあるため、すべての関係者にかかわる問題である。本稿では、がんゲノム医療におけるプライバシー保護について、法律・指針と技術のそれぞれの面から現状と課題を紹介する。(著者抄録)

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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   22回   161 - 161   2018.7

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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)   Publisher:JAPAN SOC INTERNAL MEDICINE  

    Objective This study attempted to clarify the current status of female dystrophinopathy carriers, including the numbers of patients, the status of genetic screening, the status of counseling. physicians' understanding. and barriers to registration.Methods We sent out questionnaires to 402 physicians registered in the Remudy dystrophinopathy registry. The total number of responses received was 130 (response rate: 32%).Result In total, 1,212 cases of Duchenne muscular dystrophy, 365 cases of Becker muscular dystrophy, and 132 cases of female dystrophinopathy with a confirmed genetic mutation were encountered, and genetic testing was performed in the mother in 137, 23, and 12 cases, respectively. With respect to the risk of the onset of health problems, 25% of physicians always explained, 29% usually explained, 29% sometimes explained, and 13% never explained the risk to the mothers and female siblings of dystrophinopathy patients. The most common reason for not explaining the risk was a lack of knowledge/information. Thirty-five percent were familiar with the guidelines for testing the heart function of carriers.Conclusion Fewer mothers of dystrophinopathy patients have undergone genetic testing in Japan than in other countries. A significant portion of doctors did not explain the risks of health problems due to a lack of knowledge. We hope this survey will lead to an increased discussion of female dystrophinopathy patients.

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    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

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:MARY ANN LIEBERT, INC  

    File: 17BIO484%組織検体の処理までの時間とRNAの安定性に関する研究(岡大バイオバンク).pdf

    DOI: 10.1089/bio.2017.0076

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  • 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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  • 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   36回 ( 1 )   232 - 234   2016.11

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    Language:Japanese   Publisher:(一社)日本医療情報学会  

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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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    Human epidermal growth factor receptor 2 (HER2) is a member of the HER family of proteins containing four receptor tyrosine kinases. It plays an important role in the pathogenesis of certain human cancers. In non-small-cell lung cancer (NSCLC), HER2 amplification or mutations have been reported. However, little is known about the benefit of HER2-targeted therapy for NSCLCs harboring HER2 alterations. In this study, we investigated the antitumor effect of afatinib, an irreversible epidermal growth factor receptor (EGFR)-HER2 dual inhibitor, in lung cancers harboring HER2 oncogene alterations, including novel HER2 mutations in the transmembrane domain, which we recently identified. Normal bronchial epithelial cells, BEAS-2B, ectopically overexpressing wild-type HER2 or mutants (A775insYVMA, G776VC, G776LC, P780insGSP, V659E, and G660D) showed constitutive autophosphorylation of HER2 and activation of downstream signaling. They were sensitive to afatinib, but insensitive to gefitinib. Furthermore, we examined the antitumor activity of afatinib and gefitinib in several NSCLC cell lines, and investigated the association between their genetic alterations and sensitivity to afatinib treatment. In HER2-altered NSCLC cells (H2170, Calu-3, and H1781), afatinib downregulated the phosphorylation of HER2 and EGFR as well as their downstream signaling, and induced an antiproliferative effect through G(1) arrest and apoptotic cell death. In contrast, HER2- or EGFR-non-dependent NSCLC cells were insensitive to afatinib. In addition, these effects were confirmed in vivo by using a xenograft mouse model of HER2-altered lung cancer cells. Our results suggest that afatinib is a therapeutic option as a HER2-targeted therapy for NSCLC harboring HER2 amplification or mutations.

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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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  • 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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    Background: Linked Data has gained some attention recently in the life sciences as an effective way to provide and share data. As a part of the Semantic Web, data are linked so that a person or machine can explore the web of data. Resource Description Framework (RDF) is the standard means of implementing Linked Data. In the process of generating RDF data, not only are data simply linked to one another, the links themselves are characterized by ontologies, thereby allowing the types of links to be distinguished. Although there is a high labor cost to define an ontology for data providers, the merit lies in the higher level of interoperability with data analysis and visualization software. This increase in interoperability facilitates the multi-faceted retrieval of data, and the appropriate data can be quickly extracted and visualized. Such retrieval is usually performed using the SPARQL (SPARQL Protocol and RDF Query Language) query language, which is used to query RDF data stores. For the database provider, such interoperability will surely lead to an increase in the number of users.Results: This manuscript describes the experiences and discussions shared among participants of the week-long BioHackathon 2011 who went through the development of RDF representations of their own data and developed specific RDF and SPARQL use cases. Advice regarding considerations to take when developing RDF representations of their data are provided for bioinformaticians considering making data available and interoperable.Conclusions: Participants of the BioHackathon 2011 were able to produce RDF representations of their data and gain a better understanding of the requirements for producing such data in a period of just five days. We summarize the work accomplished with the hope that it will be useful for researchers involved in developing laboratory databases or data analysis, and those who are considering such technologies as RDF and Linked Data.

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  • Activity Report: Exchange Meeting on Patient/Client/TOJISHA's Narrative Record Use Reviewed

    E Aramaki, K Araki, Y Ishii, K Uematsu, S Kitajima, S Kumagaya, K Sakurai, Y Setoyama, Y Takahashi, Y Tomii, S Hori, S Nishidate, M Morita, H Yajima, E Wada, N Nori, Y Shimamoto

    Japan Journal of Medical Informatics   34 ( 4 )   197 - 200   2014.9

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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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    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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  • 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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  • 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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  • 使いやすい言語処理のための実装例の提案

    荒牧 英治, 森田 瑞樹, 仲村 哲明, 島本 裕美子, 宮部 真衣

    医療情報学連合大会論文集   33回   836 - 839   2013.11

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  • 医療テキストを対象とした言語処理実装システムとそのデータ構造

    宮部 真衣, 森田 瑞樹, 荒牧 英治

    医療情報学連合大会論文集   33回   1312 - 1315   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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    Motivation: In early stage drug development, it is desirable to assess the toxicity of compounds as quickly as possible. Biomarker genes can help predict whether a candidate drug will adversely affect a given individual, but they are often difficult to discover. In addition, the mechanism of toxicity of many drugs and common compounds is not yet well understood. The Japanese Toxicogenomics Project provides a large database of systematically collected microarray samples from rats (liver, kidney and primary hepatocytes) and human cells (primary hepatocytes) after exposure to 170 different compounds in different dosages and at different time intervals. However, until now, no intuitive user interface has been publically available, making it time consuming and difficult for individual researchers to explore the data.
    Results: We present Toxygates, a user-friendly integrated analysis platform for this database. Toxygates combines a large microarray dataset with the ability to fetch semantic linked data, such as pathways, compound-protein interactions and orthologs, on demand. It can also perform pattern-based compound ranking with respect to the expression values of a set of relevant candidate genes. By using Toxygates, users can freely interrogate the transcriptome's response to particular compounds and conditions, which enables deep exploration of toxicity mechanisms.

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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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    Rare diseases, those affecting few patients, are in fact neglected diseases that demand special concern and care. We are constructing an online system to collect health-related data and complaints from rare-disease patients to share that information with stakeholders, thereby facilitating the development of new or improved drugs, treatments, and policies and enhancing the quality of life (QOL) for patients with such diseases. The system will also track and monitor the physical states and conditions of patients, which will facilitate the management of their QOL and improve communication with health professionals. Copyright © 2013 Association for the Advancement of Artificial Intelligence.

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  • 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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  • 受診理由のコーディング支援ツールの開発 Reviewed

    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   32nd   286 - 287   2012.11

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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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  • 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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    Background: In the big data era, biomedical research continues to generate a large amount of data, and the generated information is often stored in a database and made publicly available. Although combining data from multiple databases should accelerate further studies, the current number of life sciences databases is too large to grasp features and contents of each database. Findings. We have developed Sagace, a web-based search engine that enables users to retrieve information from a range of biological databases (such as gene expression profiles and proteomics data) and biological resource banks (such as mouse models of disease and cell lines). With Sagace, users can search more than 300 databases in Japan. Sagace offers features tailored to biomedical research, including manually tuned ranking, a faceted navigation to refine search results, and rich snippets constructed with retrieved metadata for each database entry. Conclusions: Sagace will be valuable for experts who are involved in biomedical research and drug development in both academia and industry. Sagace is freely available at. © 2012 Morita et al.
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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   52   S121   2012

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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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    Although web-based information extraction systems draw much attention, most of such systems assume that the web directly reflects the real world. For instance, Google flu trend, which is one of the-state-of-the-art influenza surveillance systems, relies on the basic idea that the amount of the influenza related search queries directly correlates with the number of the influenza patients. However, the real patients suffering from influenza symptoms are invisible in the web, because they do not use Internet. Considering this gap, this paper employs an infectious model, assuming that a potential patient utilizes Internet at the first sign of flu. The proposed model improves two types of the state-of-the-art systems, Google based system (from 0.837 correlation to 0.928) and Twitter based system (from 0.898 correlation to 0.918). This study demonstrated that a simple model could easily improve the web-based surveillance. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

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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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    Background: Protein-lipid interactions play essential roles in the conformational stability and biological functions of membrane proteins. However, few of the previous computational studies have taken into account the atomic details of protein-lipid interactions explicitly.Results: To gain an insight into the molecular mechanisms of the recognition of lipid molecules by membrane proteins, we investigated amino acid propensities in membrane proteins for interacting with the head and tail groups of lipid molecules. We observed a common pattern of lipid tail-amino acid interactions in two different data sources, crystal structures and molecular dynamics simulations. These interactions are largely explained by general lipophilicity, whereas the preferences for lipid head groups vary among individual proteins. We also found that membrane and water-soluble proteins utilize essentially an identical set of amino acids for interacting with lipid head and tail groups.Conclusions: We showed that the lipophilicity of amino acid residues determines the amino acid preferences for lipid tail groups in both membrane and water-soluble proteins, suggesting that tightly-bound lipid molecules and lipids in the annular shell interact with membrane proteins in a similar manner. In contrast, interactions between lipid head groups and amino acids showed a more variable pattern, apparently constrained by each protein's specific molecular function. © 2011 Morita et al
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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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    With the recent rise in popularity and scale of social media, a growing need exists for systems that can extract useful information from huge amounts of data. We address the issue of detecting influenza epidemics. First, the proposed system extracts influenza related tweets using Twitter API. Then, only tweets that mention actual influenza patients are extracted by the support vector machine (SVM) based classifier. The experiment results demonstrate the feasibility of the proposed approach (0.89 correlation to the gold standard). Especially at the outbreak and early spread (early epidemic stage), the proposed method shows high correlation (0.97 correlation), which outperforms the state-of-the-art methods. This paper describes that Twitter texts reflect the real world, and that NLP techniques can be applied to extract only tweets that contain useful information. © 2011 Association for Computational Linguistics.

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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

    言語処理学会年次大会発表論文集   17th (CD-ROM)   ROMBUNNO.E3-4   2011.3

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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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    Background: Elucidating molecular recognition by proteins, such as in enzyme-substrate and receptor-ligand interactions, is a key to understanding biological phenomena. To delineate these protein interactions, it is important to perform structural bioinformatics studies relevant to molecular recognition. Such studies require a dataset of protein structure pairs between ligand-bound and unbound states. In many studies, the same well-designed and high-quality dataset has been used repeatedly, which has spurred the development of subsequent relevant research. Using previously constructed datasets, researchers are able to fairly compare obtained results with those of other studies
    in addition, much effort and time is saved. Therefore, it is important to construct a refined dataset that will appeal to many researchers. However, constructing such datasets is not a trivial task. Findings. We have developed the BUDDY-system, a web site designed to support the building of a dataset comprising pairs of protein structures between ligand-bound and unbound states, which are widely used in various areas associated with molecular recognition. In addition to constructing a dataset, the BUDDY-system also allows the user to search for ligand-bound protein structures by its unbound state or by its ligand
    and to search for ligands by a particular receptor protein. Conclusions: The BUDDY-system receives input from the user as a single entry or a dataset consisting of a list of ligand-bound state protein structures, unbound state protein structures, or ligands and returns to the user a list of protein structure pairs between the ligand-bound and the corresponding unbound states. This web site is designed for researchers who are involved not only in structural bioinformatics but also in experimental studies. The BUDDY-system is freely available on the web. © 2011 Morita et al
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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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    Carbohydrate-binding proteins are proteins that can interact with sugar chains but do not modify them. They are involved in many physiological functions, and we have developed a method for predicting them from their amino acid sequences. Our method is based on support vector machines (SVMs). We first clarified the definition of carbohydrate-binding proteins and then constructed positive and negative datasets with which the SVMs were trained. By applying the leave-one-out test to these datasets, our method delivered 0.92 of the area under the receiver operating characteristic (ROC) curve. We also examined two amino acid grouping methods that enable effective learning of sequence patterns and evaluated the performance of these methods. When we applied our method in combination with the homology-based prediction method to the annotated human genome database, H-invDB, we found that the true positive rate of prediction was improved. © 2010 Seizi Someya et al.

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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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    Allelic mutations of the lysosomal beta-galactosidase gene cause heterogeneous clinical phenotypes, such as GM1 gangliosidosis and Morquio B disease, the former being further classified into three variants, namely infantile, juvenile and adult forms; and heterogeneous biochemical phenotypes were shown in these forms. We tried to elucidate the bases of these diseases from a structural viewpoint. We first constructed a three-dimensional structural model of human beta-galactosidase by means of homology modeling. The human beta-galactosidase consists of three domains, such as, a TIM barrel fold domain, which functions as a catalytic domain, and two galactose-binding domain-like fold domains. We then constructed structural models of representative mutant beta-galactosidase proteins (G123R, R201C, I51T and Y83H) and predicted the structural change associated with each phenotype by calculating the number of affected atoms, determining the root-mean-square deviation and the solvent-accessible surface area, and by color imaging. The results show that there is a good correlation between the structural changes caused by amino-acid substitutions in the beta-galactosidase molecule, as well as biochemical and clinical phenotypes in these representative cases. Protein structural study is useful for elucidating the bases of these diseases. Journal Human Genetics (2009) 54, 510-515; doi:10.1038/jhg.2009.70; published online 31 July 2009

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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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    During the immobilization process of proteins onto an Au-surface of a 27 MHz quartz crystal microbalance (QCM) in aqueous solutions, apparent large frequency changes (ΔFwater) were observed compared with those in the air phase (ΔFair) due to the interaction with surrounding water of proteins. On the basis of an energy-transfer model for the QCM, the apparent added mass in the aqueous solution [(-ΔF water)/(-ΔFair) - 1] could be explained by frictional forces at the interface of proteins with aqueous solutions. When [(-ΔFwater)/(-ΔFair) -1] values for various proteins were plotted against values relating to the friction (antimobility), such as values of the molecular weight divided by the sedimentation coefficient (Mw/s), the inverse of the diffusion coefficient (1/D), and the volume divided by the surface area (volume/surface area) apparent radius) of proteins, there were good linear correlations. Thus, observations of the larger ΔF water than ΔFair for protein immobilizations on the QCM can be simply explained by the friction effect at the interface between proteins and the aqueous solution. Thus, QCM would be a mass sensor based on mechanical oscillation motion even in aqueous solutions.

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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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    This article describes a new method for predicting ligand-binding sites of proteins. The method involves calculating the van der Waals interaction energy between a protein and probes placed on the protein surface, and then clustering the probes with attractive interaction to find the energetically most favorable locus. In 80% (28/35) of the test cases, the ligand-binding site was successfully predicted on a ligand-bound protein structure, and in 77% (27/35) was successfully predicted on an unbound structure. Our method was used to successfully predict ligand-binding sites unaffected by induced-fit as long as its scales were not very large, and it contributed to a significant improvement in prediction with unbound state protein structures. This represents a significant advance over conventional methods in detecting ligand-binding sites on uncharacterized proteins. Moreover, our method can predict ligand-binding sites with a narrower locus than those achieved using conventional methods.

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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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    By using a 27-MHz piezoelectric quartz oscillator connected with a vector network analyzer, we obtained resonance frequency decreases (-Delta F-water) and energy dissipation increases (Delta D-water) during binding of biotinylated bovine serum albumin, biotinylated ssDNA, biotinylated dsDNA, and biotinylated pullulan to a NeutrAvidin-immobilized 27-MHz quartz crystal microbalance (QCM) plate in aqueous solution, as well as in the wet air phase (98% humidity, -Delta F-wet and Delta D-wet) and in the dry air phase (-Delta F-air and Delta D-air). -Delta F-water indicates the total mass of the molecule, bound water, and vibrated water in aqueous solutions. -Delta F-wet indicates the total mass of the molecule and bound water. -Delta F-air simply shows the real mass of the molecule on the QCM. In terms of results, (-Delta F-wet)/(-Delta F-air) values indicated the bound water ratios per unit biomolecular mass were on the order of pullulan (2.1-2.2) &gt; DNAs = proteins (1.4-1.6) &gt; polystyrene (1.0). The (-Delta F-water)/(-Delta F-air) values indicated the hydrodynamic water (bound and vibrated water) ratios per unit biomolecular mass were on the order of dsDNA (6.5) &gt; ssDNA = pullulan (3.5-4.4) &gt; proteins (2.4-2.5) &gt; polystyrene (1.0). Energy dissipation parameters per unit mass in water (Delta D-water/(-Delta F-air)) were on the order of pullulan &gt; dsDNA &gt; ssDNA &gt; proteins &gt; polystyrene. Energy dissipation in the wet and dry air phases (Delta D-wet and Delta D-air) were negligibly small, which indicates even these biomolecules act as elastic membranes in the air phase (without aqueous solution). We obtained a good linear relationship between [(-Delta F-water)/(-Delta F-air) - 1], which is indicative of hydration and Delta D-water/(-Delta F-air) of proteins. The aforementioned values suggest that the energy dissipation of proteins was mainly caused by hydration and that proteins themselves are elastic molecules without energy dissipation in aqueous solutions. On the contrary, plots in cases of denatured proteins, DNAs, and pullulans were relatively deviant toward the large hydration and energy dissipation from the theoretical line as perfect elastic materials, meaning that the large energy dissipation occurs because of viscoelastic properties of denatured proteins, linear DNAs, and pullulans in the water phase, in addition to energy dissipation due to the hydration of molecules. These two parameters could characterize various biomolecules with structural properties in aqueous solutions.

    DOI: 10.1021/ac060873x

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Books

  • 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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  • 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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  • 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   76   2016.7

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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   41‐46   2016

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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)   116th   PS‐094‐7 (WEB ONLY) - 7   2016

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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   286 - 309   2015

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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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  • 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回   534 - 537   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 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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  • 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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  • 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

  • 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   34th   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

  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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    Language:Japanese   Presentation type:Poster presentation  

    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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    Language:Japanese   Presentation type:Poster presentation  

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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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    Language:Japanese   Presentation type:Poster presentation  

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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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    Language:Japanese   Presentation type:Poster presentation  

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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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    Language:Japanese   Presentation type:Poster presentation  

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  • Clinical Biobank

    2016.8.29 

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    Language:Japanese   Presentation type:Poster presentation  

    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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    Language:Japanese   Presentation type:Poster presentation  

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

    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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    Language:English   Presentation type:Poster presentation  

    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

  • 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 )

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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 )

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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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  • 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 )

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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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Class subject in charge

  • Introduction to Human Care Innovation and Health Care (2021academic year) Prophase  - その他

  • Introduction to Health Care Sciences (2021academic year) Prophase  - 金7~8

  • Technical English for Interdisciplinary Medical Sciences and Engineering (2021academic year) Late  - その他

  • Research Works for Interdisciplinary Medical Sciences and Engineering (2021academic year) Year-round  - その他

  • Research Works for Interdisciplinary Medical Sciences and Engineering (2021academic year) Year-round  - その他

  • Advanced Interdisciplinary Medical Sciences and Engineering (2021academic year) Prophase  - その他

  • Interdisciplinary Science and Engineering in Health Systems (2021academic year) Prophase  - 火7~8

  • Advanced Hospital Practice (2021academic year) Prophase  - その他

  • Introduction to Medical Engineering (2021academic year) Second semester  - 水1~4

  • Introduction to Medical Engineering (2021academic year) Second semester  - 水1~4

  • Introduction to Medical Engineering (2021academic year) Second semester  - 水1~4

  • Medical Physics (2021academic year) 1st semester  - 水1~4

  • Medical Physics (2021academic year) 1st semester  - 水1~4

  • Medical Physics (2021academic year) 1st semester  - 水1~4

  • Laboratory Exercise in Medical Electronics (2021academic year) special  - その他

  • Laboratory Exercise in Medical Electronics (2021academic year) Fourth semester  - 水1~6

  • Liberal arts for medical professionals (2021academic year) Fourth semester  - 金7~8

  • Medical Information Management (2021academic year) 1st semester  - 火7~8

  • Graduation Thesis in Medical Technology (2021academic year) 1st-4th semester  - その他

  • Technical Writing and Presentation (2021academic year) Late  - その他

  • Technical Writing and Presentation (2021academic year) Late  - その他

  • Seminar in Biomedical Information Analysis (2021academic year) Late  - 金1

  • Seminar in Biomedical Information Analysis (2021academic year) Late  - 水5~6

  • Topics in Biomedical Information Analysis (2021academic year) Prophase  - 火2

  • Topics in Biomedical Information Analysis (2021academic year) Prophase  - その他

  • Topics in Biomedical Information Analysis (2021academic year) Prophase  - 水5~6

  • Seminar in Biophysiological Analysis (2021academic year) Late  - 金7

  • Topics in Biophysiological Analysis (2021academic year) Prophase  - 金7

  • Topics in Biophysiological Analysis (2021academic year) Prophase  - その他

  • Scientific study (2021academic year) special  - その他

  • Laboratory Science Exercise (2021academic year) 2nd and 3rd semester  - [第2学期]火7, [第3学期]月7

  • Introduction to Human Care Innovation and Health Care (2020academic year) Prophase  - 金5,金6

  • Technical English for Interdisciplinary Medical Sciences and Engineering (2020academic year) Late  - その他

  • Research Works for Interdisciplinary Medical Sciences and Engineering (2020academic year) Year-round  - その他

  • Advanced Interdisciplinary Medical Sciences and Engineering (2020academic year) Prophase  - その他

  • General Exercises for Interdisciplinary Medical Sciences and Engineering (2020academic year) Late  - その他

  • Introduction to Medical Engineering (2020academic year) Second semester  - 水1,水2,水3,水4

  • Introduction of Medical Engineering (2020academic year) Second semester  - 水1,水2,水3,水4

  • Introduction to Medical Engineering (2020academic year) Second semester  - 水1,水2,水3,水4

  • Introduction to Medical Engineering (2020academic year) Second semester  - 水1,水2,水3,水4

  • Medical Physics (2020academic year) 1st semester  - 水1,水2,水3,水4

  • Medical Physics (2020academic year) 1st semester  - 水1,水2,水3,水4

  • Medical Physics (2020academic year) 1st semester  - 水1,水2,水3,水4

  • Laboratory Exercise in Medical Electronics (2020academic year) special  - その他

  • Laboratory Exercise in Medical Electronics (2020academic year) Fourth semester  - 水1,水2,水3,水4,水5,水6

  • Liberal arts for medical professionals (2020academic year) Fourth semester  - 金7,金8

  • Medical Information Management (2020academic year) 1st semester  - 火7,火8

  • Graduation Thesis in Medical Technology (2020academic year) 1st-4th semester  - その他

  • Technical Writing and Presentation (2020academic year) Late  - その他

  • Seminar in Biomedical Information Analysis (2020academic year) Late  - 金1

  • Seminar in Biomedical Information Analysis (2020academic year) Late  - 水5,水6

  • Topics in Biomedical Information Analysis (2020academic year) Prophase  - 火2

  • Topics in Biomedical Information Analysis (2020academic year) Prophase  - 水5,水6

  • Seminar in Biophysiological Analysis (2020academic year) Late  - 金7

  • Topics in Biophysiological Analysis (2020academic year) Prophase  - 金7

  • Topics in Biophysiological Analysis (2020academic year) Prophase  - その他

  • Scientific study (2020academic year) special  - その他

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Social Activities

  • 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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