Past Events From 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.  

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.

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). 

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 panellists Elham Dolatabadi (York University) and Robert Greer (SickKids). The Globe and Mail's Ivan Semeniuk moderated this session.  

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.  

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."

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.

This 2024 Trainee Rounds session featured the 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 Tumour 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."

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. 

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."

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."

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. 

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.   

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.

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. 

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.