2023 - 2026 Deep learning of postmortem CT database for death investigation
2022 - 2025 Search for indicators of blood levels of directly inhibitory oral anticoagulants in coagulation tests using artificial intelligence
2021 - 2025 Establishing an innovative system for elderly residential care homes through AI analysis of real-life data
2020 - 2025 個別化医療に向けたデータ駆動型医学国際研究拠点
2021 - 2024 Development of an integrated model for estimating emerging infectious diseases and a method for allocating medical resources by integrating mathematical science and healthcare administration
2021 - 2024 Transporter-targeted drug development against urological cancers by utilizing liquid biopsy and AI
2020 - 2023 Establishment of aminoacid transporter directed prostate cancer therapy based on the liquid biopsy
2020 - 2023 Application of Artificial Intelligence for Precision Medicine in Ovarian Cancer
2020 - 2023 A predictive model of unprofessional behavior in medical students using machine learning
Shinji Izuka, Natsuka Umezawa, Toshihiko Komai, Yusuke Sugimori, Naoki Kimura, Fumitaka Mizoguchi, Yuichiro Fujieda, Keita Ninagawa, Takeshi Iwasaki, Katsuya Suzuki, et al. The muscle tissue transcriptome of idiopathic inflammatory myopathy reflects the muscle damage process by monocytes and presence of skin lesions. Arthritis & rheumatology (Hoboken, N.J.). 2024
Masao Iwagami, Ryota Inokuchi, Eiryo Kawakami, Tomohide Yamada, Atsushi Goto, Toshiki Kuno, Yohei Hashimoto, Nobuaki Michihata, Tadahiro Goto, Tomohiro Shinozaki, et al. Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study. PLOS digital health. 2024. 3. 8. e0000578
Yoshihiko Shitara, Ryo Konno, Masahito Yoshihara, Kohei Kashima, Atsushi Ito, Takeo Mukai, Goh Kimoto, Satsuki Kakiuchi, Masaki Ishikawa, Tomo Kakihara, et al. Host-derived protein profiles of human neonatal meconium across gestational ages. Nature communications. 2024. 15. 1. 5543-5543
Shinichi Sakamoto, Kodai Sato, Takahiro Kimura, Yoshiyuki Matsui, Yusuke Shiraishi, Kohei Hashimoto, Hideaki Miyake, Shintaro Narita, Jun Miki, Ryuji Matsumoto, et al. PSA doubling time 4.65 months as an optimal cut-off of Japanese nonmetastatic castration-resistant prostate cancer. Scientific reports. 2024. 14. 1. 15307-15307
2007 - 2011 The University of Tokyo Graduate School of Medicine Department of Pathology, Immunology and Microbiology
2003 - 2007 The University of Tokyo Faculty of Medicine School of Medicine
2001 - 2003 The University of Tokyo College of Arts and Sciences Natural Sciences III
Professional career (1):
Ph.D. (The University of Tokyo)
Work history (7):
2021/04 - 現在 RIKEN RIKEN Information R&D and Strategy Headquarters, Advanced Data Science Project (ADSP), Medical Data Mathematical Reasoning Team Team Leader
2019/01 - 現在 Chiba University Artificial Intelligence Medicine, Graduate School of Medicine Professor
2019/06 - 2021/03 RIKEN Medical Sciences Innovation Hub Program Team Leader
2017/10 - 2021/03 RIKEN Medical Sciences Innovation Hub Program Unit Leader
2016/07 - 2017/09 RIKEN Medical Sciences Innovation Hub Program Senior Researcher
2013/10 - 2016/06 RIKEN Laboratory for Disease Systems Modeling, Center for Integrative Medical Sciences Postdoctoral Researcher