R&D Project

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AIHARA Kazuyuki PM Photo

Goal 2 R&D Projects (Selected in 2020)Comprehensive Mathematical Understanding of the Complex Control System between Organs and Challenge for Ultra-Early Precision MedicineJPMJMS2021

Project manager (PM)AIHARA KazuyukiUniversity Professor / Professor Emeritus, Office of University Professor, The University of Tokyo

Summary of the project

We will establish integrated research between mathematical studies with mathematical data analysis & modeling analysis, and experimental & clinical studies on physiological interaction and control between organs. In particular, we develop DNB (Dynamical Network Biomarkers) theory and its complementary theory such as energy landscape analysis & AI like spatiotemporal information transforming learning to detect the pre-disease states (Mebyo) and gradual deviation from healthy states at ultra-early timing before tipping points to disease states and propose methodology for Ultra-Early Medicine based on such ultra-early detection as well as treatments with control theory on physiological networks. The long-term purpose of this project is to realize a society equipped with ultra-early disease prediction and intervention systems by 2050. We are also developing the comprehensive Mebyo database and an ELSI supporting system for ultra-early medicine. Further, we are collaborating with other projects of Goal2 as well as projects of other Moonshot Goals through our mathematical methodology composed of mathematical data & modeling analysis.

Conventional Definition

Milestone by year 2030

Based on advanced mathematical & AI studies, we will develop mathematical & AI methodology supporting ultra-early precision medicine by a predictive and preventive system to detect early warning signals of diseases in the pre-disease states before diseases will really occur and to treat imminent diseases before the disease onset by network control theory.

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R&D Items through FY2025

R&D Items from FY2026

  • [101] Integration of Mathematics and Biomedical Engineering in the Detection of Preclinical Hematopoietic Tumors
  • [102] Integration of Mathematical and Biomedical Engineering for Ultra-Early Detection of Myocardial Infarction
  • [111] Mathematical Approach to Complex Control System between Organs
  • [112] Medical Approach to Complex Control System between Organs
  • [113] Cross-cutting Collaborative Research

Performers

R&D Item [101] KOIZUMI Keiichi University of Toyama
R&D Item [102][112] FUJIU Katsuhito Institute of Science Tokyo
R&D Item [111] AIHARA Kazuyuki The University of Tokyo
R&D Item [111] SUZUKI Hideyuki The University of Osaka
R&D Item [111] MASUDA Naoki University of Michigan
R&D Item [111] IMURA Jun-ichi Institute of Science Tokyo
R&D Item [111] KAJI Shizuo Kyoto University
R&D Item [111] TAKEUCHI Tomoya Chiba Institute of Technology
R&D Item [111] IWAMI Shingo Nagoya University
R&D Item [111] TANAKA Gouhei Nagoya Institute of Technology
R&D Item [111] SVIRIDOVA Nina Tokyo City University
R&D Item [111] TAMADA Yoshinori Hirosaki University
R&D Item [111] AWAZU Akinori Hiroshima University
R&D Item [111] MORINO Kai Kyushu University
R&D Item [111] OKAMOTO Yuji RIKEN
R&D Item [111] MATSUBARA Yasuko The University of Osaka
R&D Item [112] SAITO Shigeru University of Toyama
R&D Item [112] HAYASHI Shusaku Kyoto Pharmaceutical University
R&D Item [112] KIMURA Takahiro The Jikei University School of Medicine
R&D Item [112] WATANABE Takamitsu The University of Tokyo
R&D Item [112] HOSHINO Ayuko The University of Tokyo
R&D Item [113] FUJIWARA Kantaro The University of Tokyo
R&D Item [113] IIDA Keita The University of Osaka
R&D Item [113] NOSHITA Koji Kyushu University
R&D Item [113] YAMAJI Kazutsuna National Institute of Informatics
R&D Item [113] IIJIMA Yoshihiko Fujita Health University
R&D Item [113] ISOBE Tetsu Keio University
R&D Item [113] YOSHIDA Masayuki Institute of Science Tokyo
R&D Item [113] KAMISATO Ayako National Center for Child Health and Development
R&D Item [113] FUJITA Takanori Co-Innovation University

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