[8p-S202-1~8] Lab to Fab: Accelerating R&D to Mass Production via Semiconductor DX

4:05 PM - 4:45 PM JST(7:05 AM - 7:45 AM UTC)

[8p-S202-5] Interdisciplinary research conducted entirely in a dry-lab setting

〇Shingo Iwami¹ (1.Nagoya University)

Keywords:

data science,disease progression,infectious disease

In recent years, biomedical research has entered a new phase driven by advances in mathematical sciences and AI technologies. In particular, the integration of data-driven approaches such as machine learning with mathematical modeling and simulation is opening new avenues for cross-disease understanding, quantitative risk assessment, infectious disease forecasting and control, and drug development. In this talk, I will introduce some of our efforts at iBLab, where we aim to advance biomedical science through interdisciplinary collaboration centered on mathematical modeling, closely integrated with experimental and clinical research.