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Department of Bioinformatics
Research Topic
Recent breakthroughs in measurement technologies have enabled the collection of extensive omics data, including individual genomes and molecular profiles in the blood. Furthermore, large-scale biobank studies have facilitated the integration of omics data with clinical health records. Using bioinformatics approaches, we are combining these data to develop predictive models of individual health status transitions and personalized treatment selection, ultimately aiming to achieve precision medicine.
Main research themes
- Modeling cardiometabolic disease progression
- Multi-omics blood tests for diagnosis and disease prediction
- Statistical modeling and software development
- Validation of multi-omics statistical models through disease model animal experiments
Main Staff
| Director | Fumihiko Takeuchi |
