AI is Changing Wearables in 2026(?) and Predicts 130 Diseases from Sleep! (Fit For Science Episode 8) Titelbild

AI is Changing Wearables in 2026(?) and Predicts 130 Diseases from Sleep! (Fit For Science Episode 8)

AI is Changing Wearables in 2026(?) and Predicts 130 Diseases from Sleep! (Fit For Science Episode 8)

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Rob and Stephan evaluate current AI features in wearables, break down a revolutionary paper predicting diseases from a single night of sleep, and discuss the future of medical integration into wearables.📝SummaryIn this episode, biological data scientists Rob and Stephan critically assess the current use of AI in the wearable market, ranging from the practical limitations of Oura and Whoop coaches to the potential of Google’s Gemini and Withings’ biomarker-tracking devices. The central scientific discussion focuses on "SleepFM," a groundbreaking foundation model published in Nature Medicine that utilizes self-supervised learning on polysomnography data to predict over 130 diseases, biological age, and mortality risk from a single night of sleep with unprecedented accuracy. The hosts speculate on how this technology could bridge the gap between clinical sleep labs and consumer wearables, potentially transforming preventive medicine through longitudinal tracking and non-invasive sensors.⏳Chapters00:00:00 AI in wearables and their current capabilities00:01:21 AI Coaches: Testing the limits of Oura, Whoop, and Garmin 00:12:24 The Smart Toilet: Withings U-Scan and the value of waste biomarkers 00:23:00 Environmental Health: PVC off-gassing and vinyl records 00:28:15 Generative AI: ChatGPT Health and Claude for Life Sciences 00:37:17 SleepFM: A multimodal sleep foundation model for disease prediction 00:43:00 Self-Supervised Learning: How foundation models learn from sleep data 00:51:00 Disease Prediction: Predicting 130 conditions with unseen accuracy00:59:46 The Future: Translating clinical models to consumer wearables 01:19:25 Community Feedback📚ResourcesIntroducing Oura Advisor (not Coach)WHOOP Coach Powered by OpenAIActive Intelligence With Garmin Connect+U-Scan NutrioNews: Withings latest smart scale (‘longevity station’)Withings IntelligenceBody ScanKetone bodiesKetosis: Definition, Benefits & Side EffectsKeto Breath (“dragon breath”)Air Quality Measurement DeviceVINYL: Maybe it's time we had an intervention.Introducing ChatGPT HealthSegment about AI in health(care)Claude in healthcare and the life sciencesClarification: Anthropic's product is called Claude with three differently sized models named Haiku, Sonnet, and Opus.ICD-10 and ICD-11 Codes: International Classification of Diseases (ICD)Understanding ICD-10 | Johns Hopkins MedicineHealthcare Spending - Our World in DataFederated learningSwarm LearningSleepFM - Nature Medicine paperCodeStanford Sleep Bench v1.0Foundation modelAttention Is All You Need (Transformers)Self-supervised learningImageNetFine-tuningReinforcement learning from human feedback (RLHF)PolysomnographyRecurrent neural network (LSTM)Long short-term memory (RNN)C-index: Evaluating Survival ModelsBest Wearables for Sleep: Scientific Rankings (2024-05)Best Wearables for Sleep: Scientific Rankings (2025-10)Philips Somnolyzer 24x7 for automated sleep stagingWhoop listened(?) and is looking for a VP for Foundation AIAUROC of blood pressure to predict ASCVD ~0.80Podcast Recommendation: Drug Story Atorvastatin (Lipitor)Life expectancy: Netherlands (82.2) vs Austria (82.0)Diagnostic and Statistical Manual of Mental Illnesses (DSM-5)Mechanism does not imply outcome. Outcome implies mechanism. - Layne NortonNo Biological Free Lunches🎙️AboutFit For Science is a deep-dive podcast hosted by two biological data scientists, Rob and Stephan, exploring the intersection of research, health tech, and data-driven lifestyle design. The hosts provide evidence-based systems, layered with practical "N=2" personal experimentation, to cut through the noise in the health and fitness industry.Learn more and subscribe on your favorite platforms:YouTubeSpotifyApple PodcastsAmazon Music⚠️Disclaimer: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.
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