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Transforming health through AI

Sep 14, 2026
TITLE: Digital Pathology to Predict Treatment Response in High-Risk Breast Cancer
PRESENTER: Dr. William Tran
METHOD: Zoom
DATE: (Fri.) October 2, 2026
TIME: 10:00am to 11:00am ET
Sep 13, 2026
The 2026 National Health Datathon is open to students, trainees, researchers, and professionals in medicine, data science, computing, and more! Join participants in developing machine learning models to solve relevant problems using real medical data.
Please note: Participants must have a current or past affiliation with U of T. Registration Deadline: Sep. 25, 2026
Datathon Dates: 10am to 5pm, October 2 and 3
Sep 11, 2026
TITLE: How AI will change medical education delivery: From living curricula to ambient assessment
PRESENTER: Dr. Samir Grover, MD, MEd, FRCPC, AGAF, FASGE, CAGF
METHOD: Zoom
DATE: (Tues.) September 15, 2026
TIME: 12:30pm to 1:30pm ET
Doctor interacting with holographic human anatomy.

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Are you ready for the future of AI medicine? Whether you’re a student curious about the basics, a healthcare professional exploring new tools, or simply someone interested in how medicine is changing, this is your invitation to learn more.

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Health Data Nexus

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T-CAIREM's Health Data Nexus is a repository of real-world de-identified medical datasets. Our platform makes it easy for clinicians to publish datasets and for accredited researchers and educators to access them. 

AI Learning Hub

AI Learning Hub

T-CAIREM's AI Learning Hub is a curated repository of helpful books, research papers, tutorials, videos, and podcasts for AI health learners at all levels.

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Muhammad Mamdani
T-CAIREM is the catalyst for healthcare of the future. We’re developing Artificial Intelligence education programs, funding research, and providing a secure data platform for applied learning and research. Our community of students, educators, researchers, and clinicians is ushering in a new era of healthcare to improve lives around the world.