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Patrick Leung

CTO of Faro Health and former Engineering Lead at Google Duplex. Applies AI to optimize clinical trial development and enhance protocol design.

Top 3 podcasts with Patrick Leung

Ranked by the Snipd community
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44 snips
Jul 28, 2025 • 54min

#226 - Ex-Google Duplex Eng Lead on Disrupting $2B Clinical Trials with AI - Patrick Leung

Patrick Leung, CTO of Faro Health and ex-Google Duplex Engineering Lead, dives into the groundbreaking use of AI in clinical trials. He explores how AI can cut drug development time and costs dramatically while maintaining compliance with stringent regulations. Discussing challenges like AI hallucinations, Patrick emphasizes the need for human oversight. He also reflects on the evolution of AI technologies, the promise of artificial general intelligence, and offers practical advice for thriving in an AI-driven world. The conversation uncovers AI's true potential in transforming healthcare.
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37 snips
Dec 22, 2025 • 54min

83: Using AI to Scale Marketing and Revenue Teams with Patrick Leung

In this conversation, Patrick Leung, a former Google engineer and current AI executive at Faro Health, delves into how AI revolutionizes marketing and revenue teams. He shares practical applications of AI for efficiency and consistency while supporting non-technical leaders. Patrick emphasizes the importance of avoiding overcomplication in workflows and moving from experimentation to scalable processes. He also addresses realistic expectations for AI capabilities and the necessity of curiosity and hands-on projects for effective adoption.
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13 snips
Mar 21, 2025 • 48min

Saving Pharma Companies Billions with AI l Patrick Leung from Faro Health

Patrick Leung, CTO of Faro Health and former leader at Google, discusses revolutionizing clinical trial design with AI. He reveals how AI transforms regulatory document generation and captures insights from past trials, showcasing the importance of collaboration between clinical experts and engineers. Leung addresses the high costs of trials, challenges with traditional metrics, and the role of structured data extraction in enhancing outcomes. He also dives into AI's capabilities and the hiring challenges faced in the field.

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