physics-informed machine learning

Researchers report a new approach combining physics-informed machine learning with wearable electrochemical sweat biosensors to monitor metabolites. The method aims to deliver robust calibration and physiological validation of the sensors, addressing a key challenge in turning sweat analysis into reliable health monitoring. The work was published in Nature.