Past Events
These previous events were either hosted by T-CAIREM or featured our team leads.
October 21, 2025
T-CAIREM's Education Lead Laura Rosella discussed "Educating the Next Generation of Clinicians for an AI-Enabled Future: Lessons from the International AI in Medicine Education Working Group." The Working Group is a global consortium of almost 20 of the world's leading AI in medicine hospitals and research organizations.
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September 22, 2025
PRiME and T-CAIREM at the University of Toronto welcomed Shahar Arzy (Hebrew University of Jerusalem, HUJI) for his keystone seminar on the future of Alzheimer's disease. After the keynote seminar, Shahar Arzy was joined by Michael Brudno (U of T, Vector Institute) and Bradley Buchsbaum (Baycrest Hospital) for a panel discussion moderated by Allison Sekuler (Baycrest) on the "Role of AI/ML in precision aging and cognitive health."
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September 10, 2025
T-CAIREM is offering two grants to help researchers develop datasets that will be securely housed on T-CAIREM's Health Data Nexus. Due to interest in this granting opportunity, we held an information session to answer questions from potential applicants. Two grants are available, valued at $50,000 each. In this recording, January Adams, T-CAIREM Data Governance and Quality Analyst, explains the grant process and addresses questions from potential applicants.
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July 30, 2025
In the final session of the 2025 T-CAIREM Trainee Rounds, Faezeh Lotfikazemi explored "AI-Driven Needle-Free OS-CMR for Classifying Ischemic, Non-Ischemic, and Edema Patterns: A Novel Approach with Pathological Feature Mapping." Second presenter Kejah Bascon presented on her research, "AI Amplified Health Equity: Investigation of Individualized Patient Education Materials on Comprehension, Satisfaction, and Trust."
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July 16, 2025
In this fourth session of the 2025 T-CAIREM Trainee Rounds, Austin Barr discussed "Zero-shot generation of synthetic neurosurgical data." Second presenter David Mikhail explored "Multimodal Performance of GPT-4 in Complex Ophthalmology Cases."
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June 25, 2025
In this third session of the 2025 T-CAIREM Trainee Rounds, Suraj Bansal discussed "ATLAS-AML: An automated bioinformatics pipeline for drug target characterization and discovery in acute myeloid leukemia." Second presenter Sidrah Laldin presented on her research, "Comparing innovative AI algorithms to assess echocardiographic videos for clinical modelling."
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June 11, 2025
In this second session of the 2025 T-CAIREM Trainee Rounds, Wanjin Li presented her research, "Development and external validation of machine learning models predicting iron recovery after blood donation." Second presenter Yuxi Long discussed "Pre-trained Vision Transformers Enable Robust Thermal Imaging-Based Detection of Rheumatoid Arthritis."
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May 28, 2025
In this first session of the 2025 T-CAIREM Trainee Rounds, Ghadir Ali presented on her research "Balancing Automation and Expert Oversight: Evaluating LLM-Assisted Discharge Summaries in Clinical Setting." David Pellow was the second presenter, and he explored "Development of a Readily Deployable Prognostication Tool for Predicting Major Adverse Cardiovascular Events Following Liver Transplantation."
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May 2, 2025
Dr. Jude Kong, Director of the University of Toronto's Artificial Intelligence and Mathematical Modeling lab (AIMM lab) at the Dalla Lana School of Public Health, discussed "AI4PEP: A Model for Decolonizing AI in Global Health for Pandemic Preparedness and Response." He presented some of the AI solutions he has co-created with communities and governments, which are currently being employed to strengthen healthcare systems in Low and Middle Income Countries (LMICs).
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April 2, 2025
Dr. Shaf Keshavjee and Dr. Andrew Sage from UHN discussed "Machine Learning and Artificial Intelligence in Assessing Organ Injury and Predicting Patient Outcomes in Lung Transplantation." Their presentation explores how machine learning (ML) and artificial intelligence (AI) are advancing predictive analytics and decision-making in surgery. It highlights the role of novel biomedical technologies, particularly ex vivo organ perfusion, as a key driver of ML innovation in transplantation.
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February 20, 2025
Dr. Mark Boulos and Sarah Berger discussed their research into harnessing data from the Sunnybrook Sleep Laboratory. This Speaker Series was the keynote address at the 2025 Toronto Health Datathon that was held at Toronto's Google offices. In this presentation, they discussed the importance of good quality sleep for health, reviewed how clinical sleep study data is harnessed for research, and explored the Sunnybrook Sleep Laboratory Health Data Nexus dataset.
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January 31, 2025
Dr. Derek Beaton leads the applied Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto. Over the past 7+ years his team deployed more than 50 data science tools into practice across the Unity Health hospital system. In this presentation he discusses how his team builds and rebuilds environments for applied AI in healthcare at Unity Health Toronto.
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December 10, 2024
Dr. Tavpritesh Sethi is an Associate Professor in the Department of Computational Biology and the founding head of the Center of Excellence in Healthcare at IIIT-Delhi. His area of expertise lies at the interface of computer science and healthcare. In this fascinating discussion he explores real-world use cases of AI in tackling antimicrobial resistance in public health settings and clinical decision-making in the ICUs.
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December 2, 2024
We held an online information session to answer questions about applying and participating in the upcoming 2025 paid internship program. The event was hosted by T-CAIREM Education Lead Laura Rosella.
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November 19, 2024
The Emerging and Pandemic Infections Consortium (EPIC), Institute for Pandemics (IfP) and the Temerty Centre for AI Research and Education in Medicine (T-CAIREM) hosted a three-part, hybrid speaker series this fall on AI and infectious diseases. Moderated by The Globe and Mail’s Ivan Semeniuk, this final session of the series featured keynote speaker César de la Fuente (University of Pennsylvania) as well as panellists Dionne Aleman (University of Toronto), and Artem Babaian (University of Toronto).
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October 23, 2024
In October, EPIC, IfP, and T-CAIREM co-hosted the second of a three-part hybrid speaker series on AI and infectious diseases. The discussion centred on using crowdsourced patient feedback to improve hospital services. This session featured keynote speaker Zahra Shakeri (University of Toronto) and panelists Elham Dolatabadi (York University) and Robert Greer (SickKids). The Globe and Mail's Ivan Semeniuk moderated this session.
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September 16, 2024
The first of a three-part, hybrid speaker series this fall on AI and infectious diseases recently took place at the University of Toronto campus. This session featured keynote speaker Dr. Kamran Khan (Unity Health Toronto and BlueDot) and panelists Dr. Fahad Razak (Unity Health Toronto) and Dr. Michelle Murti (Ontario Ministry of Health). The Globe and Mail's Ivan Semeniuk moderated the session.
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July 23, 2024
In this final Trainee Rounds session for 2024, Reza Basiri, a PhD candidate with the Institute of Biomedical Engineering at the University of Toronto presented his project "Advancing DFU Management: Introducing WoundVista-2.0 for Enhanced AI-Powered Diagnosis and Education." The second presenter was Xuanzi (Elly) Zhou, a PhD candidate with the Institute of Medical Science at the University of Toronto. She discussed her research on "Developing a Digital Lung: A Deep Learning Approach to Simulating Physiological Lung Function during Ex Vivo Lung Perfusion."
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July 9, 2024
In this Trainee Rounds session, University of British Columbia MSc interdisciplinary oncology student Fumiya Inaba presented on his research "Large-scale DNA Organization Identifies Aggressive Prostate Cancer in Low and Intermediate-Risk Patients." University of Toronto medical biophysics trainee Vivian Chu discussed her research on "Mapping the neoantigen landscape of patient-derived organoids using a peptide-based large language model."
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June 25, 2024
This 2024 Trainee Rounds session featured first presenter Ernest Namdar, a PhD candidate with the Institute of Medical Science at the University of Toronto. He discussed his research project, "MRI-based Pediatric Low-Grade Neuroepithelial Tumor Molecular Biomarker Identification Pipeline; Towards Precision Medicine with Bi-institutional Data and Machine Learning." The second presenter was Baijiang Yuan, a PhD-track trainee with the University of Toronto's Institute of Medical Science, who explored "Machine Learning Predicts Symptom Dynamics During Cancer Treatment."
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June 17, 2024
T-CAIREM held its first hybrid AI in medicine symposium devoted to Multimodal AI and the Future of Health at the University of Toronto on June 17, 2024. (Use the timestamps in the YouTube Description box to jump to the relevant panel discussions.) Multimodal AI combines multiple types of data (medical imaging, electronic health records, biosensors, and others) to radically improve AI solution performance and transform healthcare delivery. T-CAIREM’s 2024 Symposium focused on how multimodal AI can improve clinical practice and enable a broader understanding of a patient’s health while raising important technical and ethical issues in healthcare.
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June 11, 2024
This session of the 2024 Trainee Rounds features two presenters. Lianghong Chen is a Master's student in Computer Science at Western University. He explored "Conditional Probabilistic Diffusion Model Driven Synthetic Radiogenomic Applications in Breast Cancer." The second presenter, Timur Latypov, a PhD candidate with the Institute of Medical Science at the University of Toronto, discussed "Signatures of Chronic Facial Pain: Interfacing Artificial intelligence and multimodal brain imaging."
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May 28, 2024
In the first session of the 2024 Trainee Rounds, we featured two presenters. Armaan Malhotra, a University of Toronto (UofT) PhD candidate with the Division of Neurosurgery presented on "An Early Warning System for the Real-time Image-Based Triage of Patients Suffering Traumatic Brain Injury: Development of ASIST-TBI." The second presenter, Yu Shi, a UofT PhD candidate in biostatistics with the Dalla Lana School of Public Health discussed "Predicting a cancer dependency map of cancer patients with unsupervised deep domain adaptation."
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May 23, 2024
Dr. Daniel Hashimoto, MD MSTR, is an assistant professor in the Department of Surgery at Perelman School of Medicine and in the Department of Computer and Information Science at the School of Engineering and Applied Science at the University of Pennsylvania. He is a senior fellow in the Penn Institute for Biomedical Informatics and faculty in the General Robotics, Automation, Sensing, and Perception (GRASP) Laboratory – Penn Engineering’s robotics center. In this Temerty Centre Speaker Series presentation, Dr. Hashimoto explores some of the advances in AI, robotics, and computer vision that are being explored in surgery while also covering some of the major obstacles that could impact future innovation and implementation of new technologies.
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April 18, 2024
Dr. Jessilyn Dunn is an Assistant Professor of Biomedical Engineering and Biostatistics & Bioinformatics at Duke University and Director of the BIG IDEAs Laboratory, whose goal is to detect, treat, and prevent chronic and acute diseases through digital health innovation. In this presentation, she discussed the technological advancements in wearables that make it possible to monitor individuals using multiple measurement modalities in real-time to gain a more precise understanding of health and disease and develop actionable, predictive health models for improving cardiometabolic and infectious respiratory disease outcomes.
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March 27, 2024
Barbara Prainsack is a professor at the Department of Political Science at the University of Vienna, where she also directs the Centre for the Study of Contemporary Solidarity (CeSCoS), and the interdisciplinary Research Platform “Governance of Digital Practices”. T-CAIREM partnered with the U of T's Joint Centre for Bioethics to host Dr. Prainsack's lecture and post-lecture panel discussion featuring moderator Jay Shaw, and guests Beth Coleman, and Sophie Nunnelley. Download her presentation.
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February 20, 2024
Dr. Karandeep Singh (MD, MMSc) is the Chief Health AI Officer with UC San Diego Health. In this lecture, Dr. Singh uses real-world examples to illustrate common implementation roadblocks that can lead AI models to fail. Download Dr. Singh's presentation (PPT).
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January 23, 2024
Dr. Jessica Burgner-Kahrs is an Associate Professor with the University of Toronto and a Continuum Roboticist. In this lecture, she reviewed the landscape of interventional and surgical continuum robots, both in research and medical products. She also discussed advances in continuum robot design, state-of-the-art physics-based and emerging learning-based modelling methods, and motion planning and control.