Jul 28, 2026
T-CAIREM is pleased to offer this 10-week professional development course for participants seeking to deepen their understanding of AI in medicine. This course provides a comprehensive introduction to data science using Python and machine learning. Participants will learn how to use powerful tools to analyze time-series data, process images, train machine-learning models, and create visualizations. By the end of the course, participants will come away with the skills and mindset needed to delve into tasks ranging from speech analysis to image classification.
REGISTRATION DEADLINE: September 13
REGISTRATION DEADLINE: September 13
Jul 23, 2026
Four grants of $50,000 each are available to researchers at the University of Toronto and Nanyang Technological University (NTU). Each grant will provide $25,000 CAD to a T-CAIREM co-Principal Investigator at the University of Toronto and $25,000 SGD to a C-AIM co-Principal Investigator at NTU. The grants will support interdisciplinary AI projects in healthcare, medical education, health systems, digital health, and related areas.
APPLICATION DEADLINE: October 2, 2026
APPLICATION DEADLINE: October 2, 2026
Jul 6, 2026
TITLE: How AI will change medical education delivery: From living curricula to ambient assessment
PRESENTER: Dr. Samir Grover
METHOD: Zoom
DATE: September 15, 2026
TIME: 12:30pm to 1:30pm ET
PRESENTER: Dr. Samir Grover
METHOD: Zoom
DATE: September 15, 2026
TIME: 12:30pm to 1:30pm ET
Join T-CAIREM!
T-CAIREM connects AI in medicine students, researchers, and clinicians across Canada and around the world. (To see if you're eligible to join, visit the T-CAIREM Network page.)
HealthDataNexus.ai
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
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.