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Herein, taking silver nanowires as templates, the silver\u2010silver sulfide (Ag\u2010Ag\n                    <jats:sub>2<\/jats:sub>\n                    S) asymmetric ordered nanowires (AONs) are prepared by the interfacial self\u2010assembly and interface\u2010confined sulfurization strategies. Based on the anisotropic characteristics of Ag\u2010Ag\n                    <jats:sub>2<\/jats:sub>\n                    S AONs on two sides, a novel PEC platform is reported for dual long non\u2010coding RNAs (lncRNAs) co\u2010detection in plasma exosomes, with machine learning\u2010assisted data analysis for cancer intelligent diagnosis. The photocurrent response of Ag\u2010Ag\n                    <jats:sub>2<\/jats:sub>\n                    S AONs is 16 times that of disordered Ag\u2010Ag\n                    <jats:sub>2<\/jats:sub>\n                    S, while finite\u2010difference time\u2010domain and density functional theory simulations confirm the optical anisotropy of Ag\u2010Ag\n                    <jats:sub>2<\/jats:sub>\n                    S AONs. Employing magnetic separation to differentiate signals, this developed PEC biosensor achieves selective recognition for lncRNAs MALAT1 and HOTAIR with low detection limits of 1.5 and 1.7 fM, respectively. Importantly, machine learning\u2010assisted Ag\u2010Ag\n                    <jats:sub>2<\/jats:sub>\n                    S AONs in distinguishing lung cancer patients from healthy individuals can reach 90% accuracy. The study combined the integration of advanced sensing materials and machine learning model, providing a new approach for intelligent monitoring of biomarkers.\n                  <\/jats:p>","DOI":"10.1002\/smll.74483","type":"journal-article","created":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T10:16:25Z","timestamp":1785752185000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Interfacial Self\u2010Assembly Ag\u2010Ag\n                    <sub>2<\/sub>\n                    S Asymmetric Ordered Nanowires for Photoelectrochemical Intelligent Detection of Dual LncRNAs"],"prefix":"10.1002","volume":"22","author":[{"given":"Wenchao","family":"Geng","sequence":"first","affiliation":[{"name":"School of Chemical and Printing Dyeing Engineering Henan University of Engineering  Zhengzhou P. R. 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