Transforming health through AI

The 2026 T-CAIREM Summer Research Program provides 30 students across Canada with paid opportunities to spend 10 weeks working with AI health experts from partners in the T-CAIREM Network.
• We've posted a PDF of hiring supervisors that students can approach. 
• Have questions? Attend our Dec. 8 virtual info session.

PRESENTER: Dr. Mamatha Bhat
DATE: December 8, 2025
TIME: 12pm to 1pm ET
DELIVERY: Online This session introduces multi-agentic AI systems designed to support objective, transparent, and consensus-driven clinical decisions. Using liver transplantation as a key example, we will explore how specialized AI “agents” can collaborate to provide a consensus decision that reduces inconsistencies and enhances objectivity and equity in care.

We recently caught up with Alex Mariakakis, Assistant Professor in the University of Toronto’s computer science department, and the instructor of several T-CAIREM AI in medicine upskilling courses. Mariakakis also runs the Computational Health and Interaction (CHAI) lab, which explores how data from smartphones and wearable tech can improve people’s health. With that background, he’s well-qualified to teach the upcoming T-CAIREM courses to help learners from different disciplines get up to speed with data science for health.