An integrated wearable microfluidic electrochemical/colorimetric intelligent sensing platform for comprehensive sweat analysis.

), providing a visual mapping for sweat skin microenvironment. To extract high-value information from the resulting color signals, a hybrid convolutional neural network-long short-term memory (CNN-LSTM) architecture for rapid signal capture and intelligent analysis via deep learning were performed. This wearable system integrates intelligence and multimodal output into a single analytical platform, enabling real-time monitoring during exercise and providing the considerable potential to personalized health monitoring and digital medicine.