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Neuromuscular diseases pose significant health and economic challenges, necessitating innovative monitoring technologies for personalizable treatment. Existing devices detect muscular motions either indirectly from mechanoacoustic signatures on skin surface or via ultrasound waves that demand specialized skin adhesion. Here, we report a wireless wearable system, Laryngeal Health Monitor (LaHMo), designed to be conformally placed on the neck for continuously measuring movements of underlying muscles. The system uses near-infrared (NIR) light that features deep-tissue penetration and strong interaction with myoglobin to capture muscular locomotion. The incorporated inertial measurement unit sensor further decouples the superposition of signals from NIR recordings. Integrating a multimodal AI-boosted algorithm based on recurrent neural network, the system accurately classifies activities of physiological events. An adaptive model enables fast individualization without enormous data sources from the target user, facilitating its broad applicability. Long-term tests and simulations suggest the potential efficacy of the LaHMo platform for real-world applications, such as monitoring disease progression in neuromuscular disorders, evaluating treatment efficacy, and providing biofeedback for rehabilitation exercises. The LaHMo platform may serve as a general noninvasive, user-friendly solution for assessing neuromuscular function beyond the anterior neck, potentially improving diagnostics and treatment of various neuromuscular disorders. 

Abstract Precision healthcare relies upon ubiquitous biofeedback to optimize therapy individually for nuanced and dynamic needs. However, grand challenges reside in the lack of soft, highly personalizable monitors that are scalable in manufacturing and reversibly interchangeable upon the evolution of needs. Herein, a customizable soft wearable platform is presented that can seamlessly integrate diverse functional modules, including physical and biochemical sensors, stimulators, and energy storage devices, tailored to various health monitoring scenarios, while can self‐repair after certain mechanical damage. The platform supports versatile physiological sensing and therapeutic intervention due to its compatibility with wide‐ranging functional nanomaterials. A bilayer microporous foam embedded in the gel improves sweat management for comfortable and reliable on‐body biomarker monitoring. Furthermore, flexible self‐healing zinc‐air batteries using ion gel electrolytes provide opportunities for self‐powered, closed‐loop systems. On‐body demonstrations validate the platform's capability to monitor physiological and metabolic states under real‐world conditions. This work provides a scalable and adaptable materials‐based solution for real‐time personalized health monitoring, advancing wearable bioelectronics to meet evolving healthcare demands.