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