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Morning Edition · Wednesday, August 19, 2026Published at 2:20 AM EDT · New York
Google Research Reports Smartphone Photos Approach Clinical Body Scans for Insulin Resistance Screening
Adding photo-derived body composition to age, sex and body mass index raised classification accuracy to 76.0 percent from 69.2 percent, close to the 77.3 percent reached with clinical scan data.
Google Research described PhotoScan, a system that estimates body composition from ordinary front and side photographs and uses that estimate to flag insulin resistance. In the published results, adding PhotoScan-derived measurements to a b…
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