Moonshot Goal 2Realization of ultra-early disease prediction and intervention by 2050.

Disease-prediction technology will help us live longer and healthier lives.(PDF 762KB)


To ensure that our ageing population has continued health and high quality of life, we need a new style of ultra-early disease prediction and intervention that supersedes today’s conventional approach of treatment only after detection of symptoms.

To achieve this Moonshot Goal and realize ultra-early disease prediction and intervention we will promote R&D on technologies related to disease observation, manipulation, measurement, analysis, database creation and more. By integrating these technologies, we will advance our understanding of the comprehensive network connecting human organs.

Program Director (PD)

SOBUE GenChairperson, Aichi Medical University

【Message from PD】
The states of chronic diseases such as diabetes and dementia are linked to the breakdown of inter-organ networks. The key to our Moonshot Goal is establishing a method to foresee this breakdown and help at-risk individuals convert back from a pre-symptomatic state to a healthy one. Our R&D projects will contribute to our understanding of the comprehensive inter-organ network, building a database describing the network state, and developing a simulation system predicting unstable health utilizing mathematical models.

Click here to see the list of advisors

WAKAYAMA Masato* Vice President, Tokyo University of Science
ISA Tadashi Professor, Graduate School of Medicine, Kyoto University
ISHII Ken Professor, The Institute of Medical Science, The University of Tokyo
USHIJIMA Toshikazu Chief, Division of Epigenomics, National Cancer Center Research Institute
OKABE Shigeo Professor, Graduate School of Medicine, The University of Tokyo
OGAWA Yoshihiro Professor, Faculty of Medical Sciences, Kyushu University
KAMIMURA Midori Distinguished Research Scientist, Teijin Institute for Biomedical Research, Teijin Pharma limited
KOKUBU Hiroshi Professor, Graduate School of Science, Kyoto University
SUGANO Sumio Professor, Future Medicine Education and Research Organization at Chiba University
SUZUKI Rami CEO and Representative Director, Ferring Pharmaceutical Co., Ltd.
TAKAI Yoshimi Professor, Graduate School of Medicine, Kobe University
TANIGUCHI Tadatsugu Advisor, Office of the President, The University of Tokyo
TOMIOKA Ken Department Manager, Marketing Department, Marketing Sector Healthcare Business Unit, Nikon Corporation
NAKAYAMA Toshinori President, Chiba University

*Sub Program Director

R&D Project

Comprehensive Mathematical Understanding of the Complex Control System between Organs and Challenge for Ultra-Early Precision Medicine
Project Manager AIHARA Kazuyuki
University Professor, The University of Tokyo
Outline This project will establish integrated research between mathematical studies with mathematical data analysis and mathematical modeling analysis, and experimental studies on interaction and control between organs. This project aims to realize a society equipped with ultra-early disease prevention systems by 2050 through comprehensively understanding the inter-organ network as the complex control system between organs and applying it to ultra-early precision medicine.
Challenge toward the Control of Intractable Cancer through Understanding of Molecular, Cellular, and Interorgan Networks
Project Manager OHNO Shigeo
Special Contract Professor, Institute for Diseases of Old Age, School of Medicine, Juntendo University
Outline This project aims to unravel the mechanism of onset and malignant transformation of intractable cancers such as pancreatic cancer by employing cell biology, imaging technology, and mathematical and AI technology in an integrated manner. By doing so we aim to realize a society allowing us to predict and prevent the onset of intractable cancers by 2050.
Challenge for Eradication of Diabetes and Comorbidities through Understanding and Manipulating Homeostatic Systems
Project Manager KATAGIRI Hideki
Professor, Graduate School of Medicine,Tohoku University
Outline This project aims to comprehensively elucidate the inter-organ communication systems underlying dynamic homeostasis of metabolism and circulation, taking advantage of original technologies, AI approaches and mathematical analyses. Furthermore, through understanding and manipulating the homeostatic systems, we will implement strategies which enable us to easily detect subjects in pre-symptomatic states of diabetes and comorbidities and to prevent the developments of these diseases by 2050.
Towards Overcoming Disorders Linked to Dementia based on a Comprehensive Understanding of Multiorgan Network
Project Manager TAKAHASHI Ryosuke
Professor, Graduate School of Medicine, Kyoto University
Outline This project aims to elucidate the interdependent multiorgan network and its breakdown at the molecular, cellular, and individual levels, focusing not only on the brain but also on the relationship between the whole body and the brain. Furthermore, we will achieve a comprehensive understanding of multiorgan network through AI and a mathematical approach. Based on this, we will develop methods for predicting disorders linked to dementia at an early stage before onset and realize preemptive medicine by using an innovative method for disease prevention by controlling the multiorgan network by 2050.
Understanding and Control of Virus-Human Interaction Networks
Project Manager MATSUURA Yoshiharu
Director, Center for Infectious Diseases Education and Research (CiDER)/Specially Appointed Professor, Research Institute for Microbial Diseases, Osaka University
Outline This project aims to analyze the interaction network between the virus and the human body in viral infections and classify/categorize its patterns to identify vulnerabilities in the human body's network. This will enable us to preemptively prepare effective diagnostic, preventive and therapeutic measures against even unknown viral infections, and thereby realize a society free from the threat of viral infections by 2050.


Moonshot Goal 2 R&D Program Secretariat
Department of Moonshot Research and Development Program, Japan Science and Technology Agency