Transforming health through AI

Developed with input from all 15 Toronto Academic Health Science Network (TAHSN) members and global AI in medicine leaders, the Temerty Centre for AI Research and Education in Medicine (T-CAIREM) has created a new framework that gives hospitals practical guidance for evaluating, introducing, and overseeing AI in clinical care and operations.

More than 130 participants gathered on October 2 and 3 for T-CAIREM’s 2026 National Health Datathon. Participants from three sites across Canada applied data science and machine learning to address real-world medical questions. The University of Toronto’s Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) led the event, with the University of Guelph and the University of British Columbia as co-hosts.

T-CAIREM is offering two grants of $50,000 to support the creation of high-quality health datasets for AI research and education. Funded teams will develop, curate and de-identify datasets and make them available through T-CAIREM's Health Data Nexus, helping researchers, educators and trainees use health data to advance responsible AI research. Award: $50,000 per grant
Number of grants: 2
Duration: 1 year, with the option to extend to 2 years without additional funding
Application deadline: October 30, 2026 at 5pm ET 
Notification date: We will notify successful grantseekers in March 2027.