Computational and AI in Medicine at LMP

The University of Toronto's Department of Laboratory Medicine and Pathobiology currently offers two courses in computational medicine. (More courses and programs will be available soon.)

Prospective students interested in finding an AI in health supervisor can use this faculty directory to search for "Artificial Intelligence" under the "Research Interests" tab: https://lmp.utoronto.ca/finding-supervisor-your-msc-or-phd

Dr. Rahul Krishnan

Topics in Machine learning - Machine Learning for Healthcare
(Course: CSC2541)
This course provides LMP students with a broad overview of the application of machine learning to solve healthcare problems. Students will learn about the recent successes of graphical models, deep learning, time series analysis, and transfer learning in a healthcare environment.

Learn more about Dr. Krishnan

Dr. Bo Wang

Basic Principles of Machine Learning in Biomedical Research
(Course LMP1210H)
This course is intended for University of Toronto graduate students in Health Sciences to learn the basic principles of machine learning in biomedical research and to build and strengthen their computational skills in medical research.

Learn more about Dr. Wang

Artificial Intelligence in Healthcare: Master of Science in Applied Computing (MScAC)

The Master of Science in Applied Computing (MScAC) is a 16-month professional master’s program offered by the Department of Computer Science in the Faculty of Arts and Science.

The Department of Laboratory Medicine and Pathobiology (LMP) has developed a concentration for this MScAC in partnership with the Department of Computer Science.

In the Artificial Intelligence in Healthcare concentration, you will complete courses in:
• Data science
• Artificial intelligence
• Visualization/systems/software engineering
• Approved LMP or Master of Health Informatics (MHI) courses
• Communication for Computer Scientists
• Technical Entrepreneurship

As well as an eight-month research internship.

Learn more about the program