Google Research uses smartphone photos to estimate body composition and predict insulin resistance
soumitrashukla9 · x · 2026-08-18
Google Research published a blog post introducing PhotoScan, a deep learning approach that estimates body composition from smartphone photos. In a clinical research setting, the method predicts insulin resistance with accuracy comparable to DXA scans. The study aims to identify metabolic risks earlier, such as insulin resistance (HOMA-IR score > 2.9), by combining wearable sensor data with body composition assessment before blood sugar levels rise.
More from Apps
- Benchling launches Science Foundries: agents and scientists running labs end-to-end — nlarusstone · 2026-10-16
- ChatGPT's Dot Reviewed: Your Chief of Staff Is Still Just a Codex Wrapper — infinitely_zero · 2026-10-16
- Perplexity API now available in Lovable apps for real-time cited web answers — AravSrinivas · 2026-10-16
- Nvidia NemoClaw makes TIME's Best Inventions of 2026 as an agent that can't break containment — NVIDIAAI · 2026-10-16
- Box AI Extract plus OpenAI Decisions API automates document routing — craigsdennis · 2026-10-16
- Full 49-minute walkthrough: editing Facebook ads with Opus 5.5 — alexgoughcooper · 2026-10-16