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Clinical trials are expensive, slow, & often fail for reasons that become obvious only after significant time & capital have already been spent.
Can data & AI help identify those risks earlier?
This event brings together founders, engineers, clinical researchers, pharma leaders, CROs & investors to explore whether technology can predict trial failure before it happens - from protocol design & site selection to recruitment, patient retention, adherence, endpoint selection & longitudinal monitoring.
The discussion will focus on where better data, predictive models & modern trial infrastructure could help teams spot risk earlier, make better decisions, & potentially reduce the cost & time of drug development.
Join the discussion with us with some amazing wine & cheese selections.
This event is a part of #SFTechWeek-a week of events hosted by VCs & startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
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