Our mission is to realize genomic medicine based on the integrated data analysis of whole genomes of human and commensal microbiota by supercomputing. Development of computational data analysis methods including artificial intelligence for genomic, health, and medical big data is one of our main focuses. We promote integrative analysis of the human whole genome, RNA and other omics data, commensal microbiota including bacteriome and virome, and health and medical-related big data. Furthermore, health medical intelligence aims at using the analysis results of such big data to create personalized health-medical action plans for individuals.
Division of Health Medical Intelligence
Professor Seiya IMOTO
Latest news & events
Prof. Imoto contributed to the March issue of the Journal of the Japanese Society of Internal Medicine with an article titled "Application of Artificial Intelligence (AI) to Clinical and Genomic Medicine".
We organized a symposium on data science of new coronavirus infections and cancer genomes. Please join us. We organized a symposium on data science of new coronavirus infections and cancer genomes. Please join us.
December 17, 2020
Professor Imoto received the NPB Awards "NPB Special Award" for his contribution to the fight against corona.
Past press releases
A paper examining the infection risk at the opening ceremony of the Tokyo Olympic Games 2020 and the effects of various countermeasures by simulation was published in the international scientific journal Microbial Risk Analysis of microbial infection risk analysis.
The 44th meeting of the Hitachi Academic System Research Group (HAS Lab), of which Prof. Imoto is a vice-chairman, will be held with the title "5G will change our lives - With/After the corona era".