Conventional disease risk assessment is based on the results of medical checkups or medical examinations conducted only several times a year. As a result, it is not possible to assess and monitor disease risk taking into account changes of our body on a daily basis . In the Department of Artificial Intelligence in Healthcare and Medicine ,through joint research with Omron Healthcare Inc., which is working toward a “Zero Event” goal, lab members are developing a system to evaluate the daily increase /fall in disease risk precisely based on individual lifestyle habits and daily vital sign data. We will conduct and support statistical and machine learning analyses using medical information and time-series data from medical and health equipment outside the hospital that can be utilized by the joint research partner. By using such data, we aim to create new disease risk indicators that take into account daily lifestyle and vital sign changes.