Tag
Google Research introduces PhotoScan, a deep learning framework that estimates body composition metrics from standard smartphone photos to predict insulin resistance and cardiometabolic risk with near-DXA accuracy.
Neko Health has upgraded its scans to provide body composition data, including visceral fat measurement.
Verge senior reviewer Victoria Song shares her frustrating experience with the inaccuracy of consumer smart scales and body composition measurements, contrasting them with clinical DEXA scans, and argues that absolute precision may not be necessary for health tracking.
Wyze launched a more affordable $79.98 BodyScan smart scale that measures body composition via eight electrodes and syncs over Bluetooth to Apple Health and Google Fit.
The Withings BodyFit smart scale is marketed for GLP-1 users, offering segmented body composition analysis to monitor muscle mass, though the connection is thin; the article explores the broader trend of metabolic health tracking.
This paper investigates episodic sampling from few-shot learning for class-balanced batch construction in medical image segmentation, showing improved performance under low-data conditions due to reduced overfitting and extended training iterations, with code available on GitHub.
Hume Health launches a spring sale offering up to 50% off its Hume Pod body-composition analyzer that claims to track fat, muscle and water changes in real time.