Division of Innovative Research and Development Advanced Research & Development Programs for Medical Innovation（AMED-CREST, PRIME）

[Research and Development Objective] Towards elucidating and predicting sex and individual differences and intrapersonal changes — A departure from the conventional practice of medical care based on patient averages

The manifestations of various symptoms of our diseases and health conditions vary not only between the sexes and between individuals, but also even within the same person at different stages of life. Significant individual differences are also sometimes observed in the effects and side effects of medicines and other drugs. Following the experience of the new coronavirus infection (COVID-19), the public interest in sex and individual differences has urgently increased. However, current medical and health research is mainly based on population averages, and the medical care that many people receive is not always optimized for the individual. The first step approaching to the issues is to understand the mechanisms of gender and individual differences in specific symptoms, diseases, and health conditions at the molecular level. Based on this information, new treatment and prevention methods need to be developed that are optimized for the individual, such as precise stratification for specific diseases and the development of predictive models at the individual level.
In this research and development area, basic and clinical medical researchers, experimental biologists, epidemiologists, computer scientists and mathematicians, as well as measurement and information technology researchers, will work closely together, combining latest knowledge and technologies from different fields to integrate and analyze multi-level data at the molecular, cellular, tissue, organ, individual and population levels.
The project aims to elucidate the mechanisms by which individual and sex differences in health and disease, as well as changes within the same individual, are generated, and to develop optimal treatment and prevention technologies for individuals by constructing accurate stratification of pathological states and predictive models at the individual level.

2024

Program Supervisor (PS)

OKADA MarikoProfessor, Institute for Protein Research, Osaka University

Program Officer (PO)

ITO TakashiProfessor, Kyushu University Graduate School of Medical Sciences

R&D Area Advisors

ARAKAWA KazuharuProfessor, Graduate School of Media and Governance, Keio University

UENO HidekiProfessor, Graduate School of Medicine, Kyoto University

KAMADA MayumiProfessor, Kitasato University School of Frontier Engineering

KINOSHITA KengoProfessor, Graduate School of Information Sciences, Tohoku University

SUSAKI A. EtsuoProfessor, Juntendo University Graduate School of Medicine

SESE JunCEO of Humanome Lab., Inc.

TAKAHASHI YorikoGeneral Manager, Bioscience & Healthcare Engineering Division, Mitsui Knowledge Industry Co., Ltd.

NOMURA SeitaroSpecially Appointed Associate Professor, The University of Tokyo Hospital

FUJIO Keishi Professor, Graduate School of Medicine, The University of Tokyo

Individual Differences