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The race to develop life-saving medications has always been constrained by time, cost, and the challenge of gathering enough patient data. But what if we could create AI-powered replicas of trial participants that accurately predict how they would respond to treatment?
Chief Executive Officer Steve Herne from Unlearn.AI joins us to reveal how digital twins technology is revolutionizing clinical trials by creating virtual patient forecasts that run alongside actual participants. This breakthrough approach enables researchers to compare observed versus predicted outcomes, dramatically reducing statistical noise and allowing true treatment signals to emerge more clearly. The results are nothing short of remarkable—Alzheimer's trials with 33% smaller sample sizes while boosting statistical power by 10%, Parkinson's disease studies completed nearly 10 months faster than traditional methods, and rare disease research accelerated by months rather than years.
We dive deep into how regulatory bodies like the FDA are adapting to this AI revolution, with new frameworks ensuring these approaches meet rigorous scientific standards. Steve shares fascinating insights into how pharmaceutical companies are transitioning from reluctance to enthusiasm, increasingly reaching out to Unlearnat the earliest stages of protocol development. The vision? Making digital twins standard practice across all therapeutic areas, accelerating the "miracle of medicine" to patients worldwide.
Whether you're a healthcare professional, technology enthusiast, or simply curious about how AI is transforming medicine, this episode offers a fascinating glimpse into a future where digital innovation and clinical research converge to create better outcomes for patients. Subscribe now and join the conversation about technology's profound impact on healthcare's most challenging problems.

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