Earley AI Podcast - Episode 96: AI in Clinical Trials, the Vibe Coding Fallacy, and Bending Eroom's Law with Patrick Leung

Earley AI Podcast - Episode 96: AI in Clinical Trials, the Vibe Coding Fallacy, and Bending Eroom's Law with Patrick Leung

Author: Seth Earley August 4, 2026 Duration: 45:33
Why Applying AI to Drug Development Is One of the Most Technically Demanding Problems in the Industry - and What Is Finally Making It Solvable Guest: Patrick Leung, Chief Technology Officer at Faro Health Host: Seth Earley, CEO at Earley Information Science Published on: August 4, 2026 In this episode, Seth Earley speaks with Patrick Leung, Chief Technology Officer at Faro Health, who spent over a decade at Google including working on Google Duplex before bringing that technical depth to o...

Seth Earley sits down with a diverse mix of experts, from visionary thinkers to hands-on practitioners, for conversations that cut through the hype surrounding artificial intelligence. The Earley AI Podcast focuses on the tangible intersection of emerging technology and real-world business needs. Each discussion moves beyond abstract possibilities to examine the practical steps for implementing AI and machine learning within organizations. You’ll hear specific insights into data science, enterprise applications, and the evolving technological landscape. These episodes are grounded in the reality that AI is becoming deeply woven into both our professional tasks and personal routines. The dialogue consistently asks how we bridge the gap between ambitious potential and deployed, functional systems. For anyone curious about how these tools are actually built, integrated, and managed, this podcast offers a necessary and nuanced perspective. Seth guides these explorations with a focus on actionable knowledge, making complex topics accessible without oversimplifying the significant challenges and opportunities ahead. It’s a resource for understanding not just what AI can do in theory, but how it is changing our world in practice.
Author: Language: en-us Episodes: 50

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