Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning‐Facilitated Human‐Interactive Sensing

Abstract Wearable epidermic electronics assembled from conductive hydrogels are attracting various research attention for their seamless integration with human body for conformally real‐time health monitoring, clinical diagnostics and medical treatment, and human‐interactive sensing. Nevertheless, it remains a tremendous challenge to simultaneously achieve conformally bioadhesive epidermic electronics with remarkable self‐adhesiveness, reliable ultraviolet (UV) protection ability, and admirable sensing performance for high‐fidelity epidermal electrophysiological signals monitoring, along with timely photothermal therapeutic performances after medical diagnostic sensing, as well as efficient antibacterial activity and reliable hemostatic effect for potential medical therapy. Herein, a conformally bioadhesive hydrogel‐based epidermic sensor, featuring superior self‐adhesiveness and excellent UV‐protection performance, is developed by dexterously assembling conducting MXene nanosheets network with biological hydrogel polymer network for conformally stably attaching onto human skin for high‐quality recording of various epidermal electrophysiological signals with high signal‐to‐noise ratios (SNR) and low interfacial impedance for intelligent medical diagnosis and smart human‐machine interface. Moreover, a smart sign language gesture recognition platform based on collected electromyogram (EMG) signals is designed for hassle‐free communication with hearing‐impaired people with the help of advanced machine learning algorithms. Meanwhile, the bioadhesive MXene hydrogel possesses reliable antibacterial capability, excellent biocompatibility, and effective hemostasis properties for promising bacterial‐infected wound bleeding.