Episode
#160: 🎙️ INTERVIEW | Prediction Is All You Need with Michael Geer, Co-Founder of Humanity
- Podcast
- Nina’s Notes Podcast
- Published
- Nov 26, 2025
- Duration seconds
- 2877
- Processing state
not_requested- Canonical source
- https://www.ninasnotes.xyz/p/160-interview-prediction-is-all-you
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Summary
What if healthcare could predict your future instead of just treating your present? In this episode, I’m joined by Michael Geer, co-founder of Humanity, to explore how AI is transforming healthcare from reactive treatment to predictive prevention. Michael and I discuss how large biological models, similar to large language models like ChatGPT, are making it possible to predict future health outcomes with unprecedented accuracy. We explore biological age versus chronological age, why personalized health recommendations will replace one-size-fits-all advice, and how AI literally saved Michael from permanent nerve damage. This conversation gets into the weeds of transformers, attention mechanisms, and the future of medicine, but don’t worry, we keep it accessible and practical. Key topics: biological age, large biological models, AI in healthcare, predictive medicine, personalized health, digital twins, preventive care, longevity science About the guest: Michael Geer is co-founder of Humanity, a company building tools to measure and reverse biological aging. Before Humanity, he helped grow Badoo to over 300 million users. Connect with Michael at [email protected] or learn more at humanity.health Timestamps: 00:00 Introduction to Predictive Healthcare 02:28 The Motivation Behind Humanity 05:39 The Shift from Reactive to Predictive Healthcare 08:05 Understanding Biological Data and Predictions 12:00 The Importance of Context in Health Predictions 16:35 The Role of Doctors in a Predictive Framework 21:42 Open Source Biological Models and Their Impact 24:25 Digital Twins and Future of Treatment Predictions 26:16 The Impact of Health Data on Treatment Predictions 27:58 Exploring Longevity and Biological Age Predictions 31:06 Modeling Interventions and Supplements for Health 35…