Events
T-CAIREM's exclusive bootcamp is open to 30 Metro International Secondary Academy students in grades 10 to 12. Participants will learn how Artificial Intelligence (AI) is changing healthcare and get hands-on training in this exciting field from University of Toronto medical students!
The Health Data Nexus is T-CAIREM’s flagship health data and analytics platform in Canada, uniquely combining a data publishing platform with a cloud-based analytics solution.
T-CAIREM is offering two grants of $50,000 each for researchers who are developing health datasets.
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.
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.
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.