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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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32 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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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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6 snips
May 21, 2025 • 22min

185: Using AI for Clinical Trial Design

Patrick Leung, CTO of Faro Health, specializes in using AI to transform clinical trials. He discusses how generative AI optimizes trial design, automates medical writing, and streamlines workflows, significantly cutting costs in the pharmaceutical industry. Patrick breaks down the structure of clinical trials and the role of AI in data analysis, enhancing patient experiences while addressing privacy concerns. He shares insights on improving protocols through tailored AI models and the hopeful future of AI innovations in drug development.

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