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physics-informed machine learning
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- 1Physics-informed machine learning advances wearable sweat biosensors▼Physics-informed machine learning for robust calibration and physiological validation of wearable electrochemical sweat biosensors for metabolite monitoring
Researchers publishing in Nature describe a physics-informed machine learning approach for calibrating wearable electrochemical sweat biosensors used to monitor metabolites. The method aims to make sensor readings more robust and to validate them physiologically, a key step for reliable, non-invasive health tracking through sweat analysis.