Physics-Constrained AI Framework for Cancer Cell Migration

Explore a cutting-edge physics-constrained AI framework for cancer cell migration in this 24-minute lecture by Gary Luker, Professor of Radiology, Biomedical Engineering, Microbiology, and Immunology at the University of Michigan. Delve into the innovative approach that combines artificial intelligence with physical constraints to better understand and predict cancer cell movement. Gain insights into how this interdisciplinary research could potentially revolutionize cancer treatment strategies and enhance our comprehension of tumor progression.