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  <div class="vevent h-event"> <h1 class="summary p-name">Virtual Lunch & Learn: AI-Powered Clinical Trials: De-Risking Enrollment, Timelines, and Investor Confidence for Biotech</h1> <div class='date'><time class="dtstart dt-start" title="2026-03-18T12:00:00" datetime="2026-03-18T12:00:00">Wednesday, March 18, 2026 from noon</time>–<time class="dtend dt-end" title="2026-03-18T13:00:00" datetime="2026-03-18T13:00:00">1pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202396506'><span class='fn org p-name'>Virtual</span></a> <div class="adr p-adr h-adr"> </div> </div> <div class="description p-description"> <p>Clinical trials are the single biggest operational and financial risk for small to mid-size biotech companies. Fifty to eighty percent of trials miss enrollment targets, unplanned amendments cost $150-300K each, and database lock delays push readouts back months. For companies with just 18-24 months of runway, every setback erodes investor confidence, delays financing, and gives faster rivals the edge. This session tackles the five pain points keeping CEOs awake: on-time First Patient In, fewer costly amendments, better enrollment and retention, faster database lock, and predictable execution that protects investor confidence.</p> <p>Learn how AI, already delivering measurable results for IQVIA, ICON, and Syneos Health, can cut timelines 20%, boost recruitment 26%, and preserve $15-22M of runway per Phase 2b/3 trial. Walk away with a practical roadmap from targeted pilots to portfolio-wide adoption that turns clinical trial risk into a competitive advantage. Join us and give your next trial the advantage it deserves.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.tickettailor.com/events/oregonbioscienceincubator/2076748">Website</a></li> </ul> </div>