
University of Chicago engineers introduce a stretchable skin patch that applies AI to instantly analyze health data on the body.
Key Details
- 1The patch uses organic electrochemical transistors printed onto flexible surfaces, enabling neuromorphic edge computing.
- 2Performs AI-powered analysis directly on-body in milliseconds, eliminating the need for wireless data transfer.
- 3Demonstrated 99.6% accuracy in localizing cardiac electrical wavefronts on real heart data, even when stretched.
- 4The neural network on the device achieved 83.5% accuracy in predicting heart attack risk from combined health data.
- 5Manufacturing breakthrough: 10,000 organic electrochemical transistors per cm² manufactured via UV-patterned polymer gel.
- 6Published May 2026 in Nature Electronics; supported by NIH, ONR, DOE, and others.
Why It Matters

Source
EurekAlert
Related News

AI Pathology Tool SÉMIL Improves Stage II Bowel Cancer Risk Assessment
A La Trobe University-developed AI tool accurately predicts relapse risk in stage II bowel cancer using digital pathology images and descriptions.

AI Tool Predicts Which Rectal Cancer Patients Benefit from Intensive Therapy
UCL researchers developed an AI that analyzes biopsy slides to identify rectal cancer patients who benefit from adding irinotecan to standard chemoradiotherapy.

AI-Guided Handheld Cardiac Ultrasound Reduces Referrals and Costs in Spain
AI-guided handheld cardiac ultrasound enables primary care physicians to detect heart failure, reducing specialist referrals and saving costs.