Research theme for competitive and other funds (6):
2024 - 2027 多剤処方時に発現する複合的な副作用のビジュアル化と発現予測システムの開発
2016 - 2019 Constructing and applying a prediction model of Cushing's syndrome and adrenal insufficiency making use of a set of routine tests data
2014 - 2017 New method for aiding detection of abnormal thyroid function in patients making use of set of routine tests – applying it in screening during general health check-ups or visiting hospitals
2011 - 2013 Development of the new method to assist diagnosing thyroid dysfunction adopting a combination of routine test data that was already measured during health-checkup, and its clinical application
薬物の構造活性相関へのニュ-ラルネットワ-クによるアプロ-チ
Neural Network Approach to Quantitative Structure-Activity Relationships in Pharmacology
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Papers (32):
Tomoyuki Hamamoto,Hitomi Inoda,Akinori Takagi,Yutaka Masuda,Kenichi Sato and Junko Kawakami. Visualization and Analysis of Adverse Reactions of 70 Molecularly Targeted Anticancer Agents Using Self-Organizing Map(SOM) , An AI Technique. Japanese Journal of Drug Safety. 2024. 10. 1. 25-40
Sorama Aoki, Juichi Fujimori, Ryoko Mikami, Kenji Hoshi, Junko Kawakami, Kenichi Sato, Ichiro Nakashima. Assisting the diagnosis of multiple sclerosis using a set of regional brain volumes: A classification model for patients and healthy controls. Informatics in Medicine Unlocked. 2021. 26
青木空眞, 川上準子, 星憲司, 佐藤憲一, 中川吉則, 森弘毅, 飛田渉, 吉田克己. Assisting the diagnosis of overt hypothyroidism making use of a set of routine tests: Artificial intelligence-based attempts to build a time-series prediction model using laboratory values at two-time points. 日本薬学会年会要旨集(Web). 2022. 142nd
Japan Association for Medical Informatics
, Japanese Society of Drug Safety
, Japanese Society of Pharmaceutical Health Care and Sciences
, 日本医薬品情報学会
, 日本薬学会