Speaker: Sian Tsuei, UBC School of Population and Public Health Rapid advances in AI are equipping clinical tools with increasingly powerful capabilities — while the risks remain largely unchecked. This talk draws on a recently published book, Medical AI: Promises and Perils at a Critical Moment (available here), to examine both the promise and the dangers of frontier […]
Speaker: Nick Bansback, UBC School of Population and Public Health Since the introduction of biologics in the early 2000s, the management of inflammatory diseases such as rheumatoid arthritis has undergone an enormous shift, impacting both patient outcomes and pharmaceutical budgets. This presentation will describe the 25-year evolution of the market, identifying the policy decisions and […]
Speaker: Ana Komparic, UBC School of Population and Public Health The ethical importance of universal health coverage is widely recognized, but policy debate persists as to how coverage ought to be implemented in practice, including whether and why it is ethically significant that it be financed and administered through a public, single-payer system. Solidarity is […]
Speaker: M. Ehsan Karim, UBC School of Population and Public Health AI tools are increasingly acting like research assistants: finding papers, summarizing evidence, writing code, and drafting/reviewing manuscripts. Their outputs can be fast, polished, and persuasive — but sometimes the most convincing answer is the one that most needs checking. This seminar uses concrete […]
Speaker: Nils Gutacker, University of York, UK Many health systems seek to incentivise value-based healthcare delivery to control costs and improve population health. Dr Gutacker will reflect on the English patient-reported outcome measures (PROMs) programme and how routinely collected data on patient-reported outcomes after hip and knee replacement surgery have been used by the English […]
Speaker: Bret Nestor, UBC Centre for Health Services and Policy Research Synthetic medical data is increasingly being adopted to protect patients’ privacy while increasing data accessibility for researchers. This talk explores the “no free lunch” theorem as it pertains to synthetic clinical data. Synthetic data land on a spectrum between useful and non-private, or non-useful […]
Curiosity moves us. Determination gets us there—because progress doesn’t happen on its own. See how we push forward.
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