@_bryan_johnson_: Here’s everything you need to know 👇 I developed a machine learning model with @Eight Sleep and we just released it today 1️⃣ What data was it built on? This model was built on the largest raw biosignal dataset ever used to train an AI, from any device, including every wearable on the market. 2.04 million hours 136,575 participants 498k sessions 122 million segments 2️⃣ What can it predict? It can predict your biological age (the age your body acts like) within 3.3 years. It also predicts heart-related and metabolic conditions. Here are the detection scores (AUROC): diabetes (0.852) hypertension (0.810) heart failure (0.82) sleep apnea (0.792) snoring (0.751) general heart conditions (0.734) cancer (0.678) hot flashes (0.671) migraines (0.673) 3️⃣ Why is it good at age? The reason aging prediction is accurate is mechanical. Aging stiffens arteries, reduces cardiac compliance, changes autonomic tone, HRV declines. Aging also alters sleep architecture. Deep sleep shrinks and fragmentation rises. Every one of those changes the recoil waveform and its overnight dynamics. Translation: the heart of a 65 year old mechanically pushes the body differently than a 25 year old’s. 4️⃣ Some limitations worth noting Internal labels are self-reported and external cohorts are small, and that this is a research milestone, not a diagnostic device. What makes this exciting: a passive, daily activity like sleep can now provide meaningful insight into your well-being. I speak often of Autonomous Health, a world where the things around us take care of us without our knowing or asking. Eight Sleep is a great example of this in practice and a major reason I maintain so much optimism for the future of health. Congratulations to the Eight Sleep team on this incredible accomplishment. Friends, the Pod is a sleep product that can spot useful signals about your body… but it’s not a medical device. So make sure to see your doctor for diagnosis, advice, or treatment.

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Thursday 03 September 2026 15:43:27 GMT