In this episode of Talking AI, Faro CTO Patrick Leung examines why drug development has become slower and more expensive, referencing Eroom’s Law to frame the challenge. He explains that the true bottleneck isn’t scientific discovery but operational complexity—especially the manual, error-prone clinical documentation work that burdens trial teams.

Patrick outlines how Faro is applying advanced AI to clinical writing, automating complex logic, surfacing insights faster, reducing risk, and improving both efficiency and patient experience. He emphasizes that accuracy, safety, and explainability remain essential for AI in regulated environments. The discussion also touches on broader industry trends, including insights from the Stanford AI Index and the shifting AI hype cycle.

Ultimately, the episode reinforces Faro’s mission: empowering clinical experts with AI so they can focus on strategy, science, and accelerating patient impact.