Traditional clinical trials are slow, expensive, and often non-representative.In this episode, we explore “Revolutionizing Clinical Trials: A Manifesto for AI‑Driven Transformation,” a new collaborative vision from pharma, consultancies, and researchers. The paper proposes a transformative roadmap—using causal models and digital twins—to make trials smarter, more efficient, and deeply personalized, all while working within the current regulatory landscape.We dive into:The promise of causal inference for identifying responsive subgroups with precisionHow digital twin simulations can predict outcomes and optimize trial designReal-world implications for speed, safety, and scalingWhat regulatory and ethical guardrails are needed for clinical implementationIf new AI tools are going to reshape drug discovery and clinical research, this is where the battleground lies.

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