Summary of the project

We will establish integrated research between mathematical studies with mathematical data analysis and modeling analysis, and experimental studies on interaction and control between organs. In particular, we develop DNB (Dynamical Network Biomarkers) theory and its complementary theory like spatio-temporal information transforming learning to detect the pre-disease states (Mebyo) and deviation from healthy states, respectively, 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 as control theory on physiological networks. The long-term purpose of this project is to realize a society equipped with ultra-early disease prediction and prevention systems by 2050.

Milestone by year 2030

Based on mathematical studies, we will develop methodology of network medicine to detect early warning signals of the diseases in the pre-disease states before they will really occur and to cure the imminent diseases before the onsets by network control.

Milestone by year 2025

We will develop methodology for detecting early warning signals of diseases in pre-disease states before the onsets by analyzing various data from the whole body on the basis of mathematical data analysis and mathematical modeling analysis.