Episode 25: The 200-Page Protocol Problem AI Is Finally Solving

<p>In this episode of From Models to Medicine, we sit down with <a href="https://www.linkedin.com/in/angie-schwab/">Angie Schwab</a>, CEO and founder of Trialynx, who has spent 20 years watching clinical trials run over budget, over timeline, and over complexity for one reason: nobody got rid of the copy-paste. Angie makes a sharp distinction that most people in the AI conversation are blurring. That automation and AI are not the same thing, and deploying generative AI on top of unstructured workflows without fixing the foundation first is how you get polished-looking documents that still require someone to fact-check every line.</p><p>We get into how Trialynx compresses months of protocol documentation into 30 days, why a single source of truth changes everything downstream, and where Angie draws a hard line on what AI should never touch. The episode closes on a genuinely provocative idea: AI pseudo-clinical trials that run molecules through synthetic models of human biology before a single patient is enrolled.</p>