Preventive Care
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Study examines sweat-sensing AI wearables for early, needle-free health monitoring
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Researchers at the University of Technology Sydney are exploring how sweat-sensing wearables, combined with artificial intelligence, could enable real-time, non-invasive tracking of health biomarkers. Their work suggests that sweat-based monitoring might one day help flag risks for conditions such as diabetes and other chronic diseases before symptoms appear, offering a painless complement to some blood tests for tracking hormones, medications, and stress-related biomarkers.