Priority Issue on Post-K computer. Integrated Computational Life Science to Support Personalized and Preventive Medicine
 

Sub-theme B

Augmenting personalized medicine by data assimilation based biomedical/biomechanical simulation

The purpose of this Subtheme is to develop a computational simulator acceptable to the medical field where actual measurement data are important by assimilating and integrating large-scale physical simulations of the biological body through use of the post-K computer with biometric data supplied in various forms, and build fundamental technologies to support personalized medical care based on the medical and biological data of individual patients. For a large-scale simulator which can only be created with the post-K, we will develop a whole-brain circulation and metabolism simulator which connects cranial nerve activity with brain circulation. By providing the medical field with physical data obtained from the data assimilation based biological simulation, we will evaluate the biological functions in the human body correctly and quantitatively and build a database, and create new medical engineering technologies built on computational science in order to ensure sophisticated diagnosis, treatment, prevention and forecast methods which support a healthy, long-lived society.

Group Leader

Shigeo WADA (Graduate School of Engineering Science, Osaka University)


Overall image of Subtheme B


Achievements

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