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Episode Description
In this episode of Neural Compass, host Mark Jacobstein (co-founder and president of Jimini Health) speaks with Dr. Adam Yala, Assistant Professor at UC Berkeley and UCSF and a leading researcher in computational precision health. Together, they explore the cutting edge of using AI to predict disease, improve diagnostics, and build smarter, safer clinical systems.
Adam shares how his team is building and validating machine learning models that outperform today’s standard screening guidelines, and why the real challenge isn’t just model performance—but translation into real-world care. From adaptive trials to synthetic contrast generation to safer LLM outputs, this conversation spans the technical, the clinical, and the deeply practical.
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About Our Guest
Dr. Adam Yala is an Assistant Professor of Computational Precision Health at UC Berkeley and UCSF. His research focuses on building AI systems to personalize disease prediction and treatment, with published work in breast cancer, lung cancer, prostate cancer, and beyond. He is also advancing methods to improve clinical trial design and ensure model safety across high-stakes health applications.
About Our Host
Mark Jacobstein is the co-founder and president of Jimini Health. A longtime entrepreneur at the intersection of AI and health tech, he now leads Jimini’s mission to transform mental and behavioral health through clinically grounded, AI-powered care.
