Canadian Life Sciences AI Summit

Designed for decision-makers across biotech, pharmaceuticals, government, healthcare delivery, and capital markets, this one-day executive forum delivers actionable insights, policy alignment, and high-level strategic networking. Why Attend: • Benchmark Strategies: Explore how AI is actively streamlining regulatory pathways and drug discovery. • Drive System Transformation: Participate in cross-sector dialogue on national data infrastructure and scaling innovation. • Connect with Capital: Engage with leading investors and institutional funders backing Canadian health tech. Registration and Call for Abstracts: Space is limited to maintain an intimate setting for executive dialogue. Secure your pass today by purchasing a ticket through Evenbrite. We are now accepting abstracts submissions for presentations. Please submit your abstract to [email protected] before September 19, 2026. A limited number of sponsored Fellowships are available for select emerging researchers, innovators, and students. Contact [email protected] to inquire. Program Overview: • Networking Breakfast • Keynote address: AI Transforming Drug Discovery, Clinical Development, and Patient Care • Panel 1: Building Canada's AI-Driven Clinical Trial Ecosystem • Panel 2: AI, Biomarkers and Precision Medicine • Fireside Chat: Canada's AI Infrastructure for Healthcare Innovation • Panel 3: AI Accelerating Drug Development and Regulatory Innovation • Panel 4: Commercialization, Investment and Scaling Canadian Innovation • Closing Keynote • Networking Reception Confirmed Speakers: • Dr. Mario Masellis, Sunnybrook Health Sciences Centre (Keynote) • Dr. Brad MacIntosh, University of Toronto • Prof. Dr. Pedro Rosa Neto, McGill University • Prof. Simon Duchesne, University of Laval • Dr. Matthew Bromwich, CORE innovation • Mr. Amos Adler, MEMOTEXT "Reducing Time to Feasibility in Digital Health Research: A Governed AI Workflow for Protocol Development, Ethics Readiness, and Functional Prototyping" • JN Nova Pharma • Enlace AI • Dr. Alexandre Le Bouthillier, Linearis "Lab-in-the-loop: How physical AI automates experiments to compress drug discovery" • Dr. Duoaud Shah, Altis labs "Imaging as an Earlier Endpoint: AI-Derived Biomarkers and Lessons from a Phase III NSCLC Trial" • Ms. Paula Mello Ferber, Cohere "Evidence-Driven Decision Making in Pharma Commercialization: The AI Sovereignty Imperative" • Dr. Marry Gunaratnam, Chief Information Technology Officer, Northern Credit Union "The AI-Enabled Workplace: Redefining How We Work"