Preventive Care
Study examines sweat-sensing AI wearables for early, needle-free health monitoring
Riportato dall'IA Immagine generata dall'IA Verificato
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.
On World Kidney Day, March 12, knowledge about kidney disease is spread globally. About one in ten Swedes has impaired kidney function without symptoms, posing major health risks if detected late. The Njurföreningen Gävle-Dala urges Region Dalarna to implement routine testing at primary care centers to catch the disease early.