ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Toward Prostate Cancer Early Warning with a Self-Powered Wearable Biosensing Platform Integrated with Machine Learning.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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11 authors.
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Abstract
Current prostate cancer detection methods remain limited in non-invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine-powered wearable platform for non-invasive sarcosine detection as a proof-of-concept for decentralized early warning. Distinct from prior urine-powered sensors, this platform establishes a hybrid bio-electrochemical energy paradigm in which urine simultaneously functions as the analytical sample and an intrinsic energy reservoir. Specifically, sarcosine serves as the biofuel to drive an enzymatic fuel cell, while endogenous Zn
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