Medical and lifestyle data, genomics and omics data, etc.

Reproduction in cyberspace of the timeline of human change from pre-disease to nursing care

・Pathophysiology and diseaseprediction models
・Algorithms for behavior change
・Drug target molecule discovery
・Cyborg prosthetics, etc.

Genomics, medical imaging, etc.

Omics analysis, genetics, hematology, pathology, diagnostic imaging, etc.

Under the keyword “digital twin,” it handles its genomic and imaging data for the wellbeing of individual patients.

Digitize patients' genetic information and medical images to manage and analyze medical data specific to an individual's time course.
This division aims to develop new approaches for disease elucidation, diagnosis, treatment, and functional improvement to realize personalized medicine based on accurate prognostic predictions, enabling more precise and effective healthcare.

Research Contents

Promoting Research on Diversity and Dynamics of Medical Information

  1. Digital information and pathophysiology of “input from sensory organs and output to motor organs via the central nervous system” using digital information of sensory and motor organs
  2. Digital information and pathogenesis of Dynamism of lifestyle-related diseases, malignant diseases, and chronic diseases from early to late stage after onset using genomic and omics information.

Digital Patient Division Member

TAKAHASHI Hidenori, Professor(Institute of Medicine)

ARAI Tetsuaki, ProfessorInstitute of Medicine
ISHIKAWA Eiichi, ProfessorInstitute of Medicine
SAIKI Shinji, ProfessorInstitute of Medicine
SHIMANO Hitoshi, ProfessorInstitute of Medicine
KOBAYASHI Yusuke, Associate ProfessorInstitute of Medicine
KODA Masao, Associate ProfessorInstitute of Medicine
SUZUKI Hisato, Associate ProfessorInstitute of Medicine
SEKIYA Motohiro, Associate ProfessorInstitute of Medicine

Collaboration and Joint Research