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Here, we report a bioinspired microfluidic chip that integrates a three\u2010dimensional high\u2010curvature TiO\n                    <jats:sub>2<\/jats:sub>\n                    nano\u2010interface (3D Hic\u2010TiO\n                    <jats:sub>2<\/jats:sub>\n                    ) with a biotin\u2010modified artificial insertion peptide (BAIP) modification for rapid enrichment of sEV. Bowl\u2010shaped TiO\n                    <jats:sub>2<\/jats:sub>\n                    nanospheres fabricated via electrospray provide topological nanotraps that match the size and curvature of sEVs, enabling efficient size\u2010selective capture. Coupled with BAIP\u2010mediated membrane affinity and herringbone\u2010induced chaotic mixing, the BAIP\u2010TiO\n                    <jats:sub>2<\/jats:sub>\n                    \u2010Chip achieved &gt;90% capture efficiency within 5\u00a0min. Redox\u2010responsive BAIP variants enabled mild release of intact sEVs for downstream analysis. When the BAIP\u2010TiO\n                    <jats:sub>2<\/jats:sub>\n                    \u2010Chip was applied to plasma samples from clinical prostate cancer (PCa) patients, mass spectrometry\u2010based proteomic profiling revealed 110 differentially expressed sEV\u2010associated proteins, including candidates involved in immune regulation and cell adhesion. In parallel, simultaneous quantification of\n                    <jats:italic>PSA<\/jats:italic>\n                    and\n                    <jats:italic>PSMA<\/jats:italic>\n                    mRNAs in sEVs could be achieved. Assisted by machine learning, a boosted decision tree model achieved 80% diagnostic accuracy in distinguishing PCa from benign conditions and healthy donors. This work presents a versatile platform for sEV isolation, enabling both transcriptomic mRNA analysis and proteomic profiling, and provides new molecular insights into PCa for improved early diagnosis.\n                  <\/jats:p>","DOI":"10.1002\/advs.202521178","type":"journal-article","created":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T15:06:09Z","timestamp":1778771169000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Bioinspired Three\u2010Dimensional High\u2010Curvature Nano\u2010Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning\u2010Assisted Prostate Cancer Precision Diagnosis"],"prefix":"10.1002","volume":"13","author":[{"given":"Le","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Pharmacy Tongji Hospital Tongji Medical College Huazhong University of Science and Technology  Wuhan China"},{"name":"Tongji School of 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