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Machine Learning for Chronic Disease Management - Focus on Precision Oncology

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Machine Learning Courses Deep Learning Courses Statistical Modeling Courses Chronic Disease Management Courses Biomarkers Courses Histopathology Courses Multiple Myeloma Courses Precision Oncology Courses

Course Description

Overview

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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.

Syllabus

Machine Learning for Chronic Disease Management


Taught by

Toronto Machine Learning Series (TMLS)

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