AI-feedback bioelectronics promote infectiouswound healing by Ximin Yuan & Weicheng Kong & Yangjie Shao & Tao Fu & Dongqi You & Jiameng Yang & Yong He & Mengfei Yu instant download

AI-feedback bioelectronics promote infectiouswound healing by Ximin Yuan & Weicheng Kong & Yangjie Shao & Tao Fu & Dongqi You & Jiameng Yang & Yong He & Mengfei Yu instant download

SUMMARYComplex and refractory wounds require precise intervention due to high bacterial density and infection risks. However, traditional treatments lack dynamic monitoring and systematic regulation of the microenvironment. Could a precise therapeutic intervention be developed to reduce infection risks? To solve this challenge, we integrate regenerative bioelectronics with artificial intelligence (AI) in this study, where AI functions as a feedback of repair signals, combining dual functionalities of intelligent responsiveness and wound healing promotion. In the early stages of infection, high-current (4 mA) stimulation induces liquid metal to release high doses of gallium ions for rapid broad-spectrum antimicrobial action. During the later healing stages, bioelectronics are designed to intelligently sense wound conditions and precisely control gallium ion release under low-current (0–2 mA) stimulation, thereby enhancing tissue regeneration within 14 days. Therefore, the regenerative bioelectronics achieve closed-loop wound repair, advancing wound-care solutions and pioneering a new field of intelligent healing through the integration of AI.