In this episode of Talking AI, Faro’s CTO Patrick Leung dives into one of the most pressing challenges in life sciences today — the unsustainable cost and speed of getting new therapies to patients — and why AI is finally poised to change that.
Patrick frames the conversation around Eroom’s Law, the observation that drug development is getting slower and more expensive every year. He explains how the bottleneck often isn’t science — it’s operations. Clinical trials are weighed down by manual, repetitive, and deeply complex clinical documentation work, which introduces long timelines, high risk of error, and massive cost.
Patrick then shares how Faro is applying AI to clinical writing, transforming how study protocols and related documentation are authored by automating the most complex logic and operational reasoning — while still ensuring accuracy, auditability, and human control.
Throughout the episode, he explores:
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Real operational use cases of AI in clinical documentation
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How AI can surface insights faster, reduce risk, and improve patient experience
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The responsibility of AI systems in clinical environments — accuracy, safety, and explainability are non-negotiable
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Why organizations must start adapting now to avoid being left behind
Patrick also discusses the broader AI landscape — including insights from the Stanford AI Index, the current hype vs. reality curve, and what’s next as new AI models emerge.
The conversation ultimately reinforces Faro’s mission: use AI not to replace expertise, but to unlock it — so clinical teams can focus on strategy, science, and advancing patient impact faster than ever.
