Events
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.
T-CAIREM and Singapore’s Nanyang Technological University (NTU) are inviting University of Toronto researchers to take part in the T-CAIREM–NTU Collaboration Catalyst Workshop 2026.
This virtual two-hour international workshop will bring together U of T faculty researchers and NTU faculty members to build new cross-institutional partnerships in the field of artificial intelligence in healthcare, including mental health, ageing, cancer detection, pathology, AI implementation, and related interdisciplinary fields.
T-CAIREM and Singapore’s Nanyang Technological University (NTU) are inviting University of Toronto faculty researchers to participate in the T-CAIREM–NTU Collaboration Catalyst Workshop 2026.
This virtual two-hour international workshop will bring together University of Toronto faculty researchers and NTU faculty members to build new cross-institutional partnerships in the field of artificial intelligence in healthcare, including mental health, ageing, cancer detection, pathology, AI implementation, and related interdisciplinary fields.
Application Deadline: May 1, 2026
Trainee Rounds Presentations (Session 1)
Marco Istasy: Machine learning identifies prognosticators of intracranial metastatic disease in patients with breast or lung cancer
Leen Alzebdeh: Predicting Inpatient Blood Glucose for Cardiovascular Surgery Patients with T2D Using EHR Data
Trainee Rounds Presentations (Session 2)
David Chen: Development of an Agentic Multi-LLM System to Support the Informed Consent Process in Clinical Trials
Mahri Kadyrova: Deep Learning–Based Tongue Segmentation and Motion Analysis in Motor Neuron Disease Using Uncontrolled Videos
Application Deadline: T-CAIREM's 2026 Healthcare of the Future Summer Bootcamp for High School Students
Trainee Rounds Presentations (Session 3)
Elnaz Ziad: Geriatric oncology toxicity risk estimation after treatment (GO-TREAT): Machine learning models to predict adverse events in older adults with cancer.
Ganlin Feng: Adaptive Agentic AI to Enhance Clinical Diagnosis in Paediatric Rare Diseases
Learn how Artificial Intelligence (AI) is changing healthcare and get some hands-on training in this exciting new field from University of Toronto medical students. The Bootcamp consists of interactive workshops and dedicated group work from Monday to Thursday, with final presentations on Friday.
Trainee Rounds Presentations (Session 4)
Dilakshan Srikanthan: Spatial Interfaces Between Histological Regions Predict Glioblastoma Prognosis Beyond Composition
Ariana Walji: Optimizing AI Implementation for Surgery: Recommendations for Infrastructure and Deployment in the Operating Room
T-CAIREM's upcoming Introduction to AI in Medicine: Practical Issues & Recommendations for Healthcare Professionals weekend mini-course offers practical, hands-on exposure to the tools, opportunities, and implications of AI in your practice. You’ll leave with strategies to improve productivity and insights into the role AI plays in your specialty.
REGISTRATION DEADLINE: July 19, 2026 @ 11:30pm ET