Biomedicine
Special Seminar: Ivo F. Sbalzarini (TU Dresden)
Exploit the connection between numerical analysis and machine learning to remedy training pathologies in physics-informed neural networks for multi-scale active phenomena, such as active turbulence. These developments present exciting opportunities in applications from spatial biology, which are dominated by nonlinear processes in space and time with often unknown physics.
Computational Biology & Biomedical Informatics (CBB) and Biomedical Informatics & Data Science (BIDS) Project Match
Computational Biology and Biomedical Informatics (CBB) and Biomedical Informatics & Data Science (BIDS) faculty will give 5–7-minute presentations on their research to recruit MS/PhD students […]
Harnessing AI to transform healthcare diagnosis and treatment
The research of Institute members Smita Krishnaswamy and Arman Cohen are featured in Yale Engineering Magazine, the annual publication of Yale’s School of Engineering […]
Page 1 of 1
