Traditional stethoscopes and commercial MEMS acoustic sensors have limited frequency range, making it hard to capture the full spectrum of physiological signals (from very low-frequency respiration and pulse waves to high-frequency heart sounds and vocalizations) in a single wearable device.

Researchers have developed AusculPatch — a lightweight, flexible, wireless auscultation patch that uses a novel cantilever pressure transducer with a nanothin cantilever and tiny airgap. This design enables broadband sensing from 0.2 Hz to over 10 kHz in one compact, low-power device (~3.2 g, 4.5 mW).

A new AI framework turns routine retinal imaging into a powerful noninvasive window for simultaneous detection of multiple metabolic and endocrine disorders.

The system combines quality-aware modules with frozen foundation models to deliver accurate, interpretable predictions from standard eye scans in under 30 seconds.