Events
EXTENDED Registration Deadline: Nov. 6, 2025 @ 11:59pm ET
Join us for the 2025 T-CAIREM AI in Medicine conference, The Evolution of Generative AI. This one-day event will take place on November 14, 2025, in Toronto.
The Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) is seeking supervisors for the 2026 T-CAIREM Summer Research Program.
T-CAIREM-affiliated Canadian university faculty members and researchers are eligible to apply for funding to hire a summer student to assist with research. (This includes faculty members and researchers from partner universities and health research institutions in the T-CAIREM Network.)
Artificial intelligence (AI) is increasingly shaping healthcare—from how diseases are diagnosed to how care is delivered. As a patient partner in research, knowing when and how AI should be used is key to ensuring these tools serve real patient needs.
This session, delivered in partnership between T-CAIREM and TRANSFORM HF, isn’t about coding or technical design! Rather, it will focus on building confidence and critical thinking for engaging with AI-related research.
APPLICATION DEADLINE: Nov. 2, 2025 (Sun.)
As data and artificial intelligence (AI) become increasingly pervasive in medicine, it has become critical for health professionals and clinicians to develop a strong understanding of data science and have the skills needed to build and evaluate their own machine learning models.
T-CAIREM is pleased to offer three standalone 10-week professional development courses to participants who would like to learn more about the fascinating intersection of data science and medicine.
As data and artificial intelligence (AI) become increasingly pervasive in medicine, it has become critical for health professionals and clinicians to develop a strong understanding of data science and have the skills needed to build and evaluate their own machine learning models.
T-CAIREM is pleased to offer three standalone 10-week professional development courses to participants who would like to learn more about the fascinating intersection of data science and medicine.