Smart Wound Management System Capable of On‐Chip Machine Learning and Closed‐Loop Therapeutic Feedback

Abstract Smart wound care systems increasingly demand real‐time biochemical analysis, on‐device decision‐making, and personalized therapeutic responses. Here, a fully integrated, skin‐conformal wound management platform is reported that enables continuous in situ monitoring, embedded machine learning–based classification, and electronically controlled drug delivery. The device integrates flexible multimodal sensors for real‐time detection of temperature, pH, uric acid, and glucose, along with embedded neural network‐based classification circuits and an electrolytic microfluidic drug delivery module. Upon recognizing inflammatory wound states, a microfluidic drug release module‐driven by electrolytic actuation‐delivers therapeutic agents in a closed‐loop manner. In vivo studies using a rabbit wound model validate the platform's diagnostic capability with 91% classification accuracy and accelerated tissue regeneration under autonomous treatment. This work presents a versatile bioelectronic approach to precision wound care, integrating sensing, diagnosis, and therapy within a single scalable platform.