Machine Learning for Chronic Disease Management - Focus on Precision Oncology

Explore the cutting-edge applications of machine learning in chronic disease management, with a focus on precision oncology, in this 45-minute talk by Dr. Rahul Krishnan, Assistant Professor at the University of Toronto. Delve into recent advances in developing statistical models for clinical biomarkers in multiple myeloma patients and discover how deep learning is revolutionizing risk-stratification tools using histopathological data. Gain insights into the intersection of computer science and medicine as Dr. Krishnan, a CIFAR AI Chair at the Vector Institute, shares his expertise in probabilistic inference and applied machine learning for healthcare challenges such as disease progression modeling and risk stratification.