Team

Open Systems Information Science Team

Team Director: Kazuhiro Sakurada (Ph.D.)

We are working on predictive medicine by developing learning methods for time series data and organism mechanics theories. We also conduct research focusing on aging and interoceptive prediction error to identify the root causes of disease.
RIKEN WEB

Medical Data Mathematical Reasoning Special Team

Team Director: Eiryo Kawakami (M.D., Ph.D.)

We aim to establish predictive models based on an understanding of health and disease states and the characteristics of each individual by flexibly applying various mathematical sciences such as machine learning, networks, and statistics.
RIKEN WEB

Medical Data Deep Learning Special Team

Team Director: Jun Seita (M.D., Ph.D.)

We study the application of deep learning to medical and health data, such as predicting future health conditions using time-series data and generating medical data using deep generative models.
RIKEN WEB

Data Science and Design Special Team

Team Director: Masayuki Ihara (Ph.D.)

We collect patient narratives in caregiving settings and analyze healthcare based on cognitive aspects such as psychology, acceptance, motivation, and self-disclosure, with a focus on individuality.
RIKEN WEB