Conventional medicine has focused on treating symptoms after they occur. This reactive approach does not actively improve health, and many people face a decline in quality of life as they age.

The Predictive Medicine Special Project is conducting research aimed at realizing personalized preventive medicine based on prediction to reduce the risk of chronic age-related diseases, extend human health span, and improve quality of life in old age. To this end, we are working on stratification based on disease characteristics, formalizing disease prediction processes, and developing a platform for preventive medicine. Specifically, we are developing a generic disease model that combines data-driven and hypothesis-driven research. The generic disease model will enable predictive preventive medicine when incorporated into a personal health digital twin. A personal health digital twin is not intended to monitor an individual's health, but rather to function as a system that allows individuals to learn from the experiences of others with similar physical and mental characteristics. We are also conducting service design research from this perspective.