Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning

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This study identified urinary microRNAs using next-generation sequencing and machine learning for the non-invasive diagnosis of endometriosis.

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; ; ; ; ; ; ; In Reproductive biology and endocrinology : RB&E 24(1), Seiten/Artikel-Nr.:4 2026 Online DOI: 10.1186/s12958-025-01517-6 DOI: 10.18154/RWTH-2026-00724 URL: https://publications.rwth-aachen.de/record/1026190/files/1026190.pdf Einrichtungen - Klinik und Lehrstuhl für Gynäkologie und Geburtsmedizin (537000-2 ; 931710) - Interdisziplinäres Zentrum für Klinische Forschung - IZKF Aachen (900003) Projekte Thematische Einordnung (Klassifikation) DDC: 610 OpenAccess: PDF Dokumenttyp Journal Article Format online Sprache English Anmerkung Peer reviewed article Externe Identnummern WOS Core Collection: WOS:001656642700001 SCOPUS: SCOPUS:2-s2.0-105027175137 Interne Identnummern RWTH-2026-00724 Datensatz-ID: 1026190 Beteiligte Länder Germany ; ; ; ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record | The record appears in these collections: | | Typ | Amount | VAT | Currency | Share | Status | Cost centre | | Other | 100.00 | 7.00 | EUR | 4.48 % | (DEAL) | 021000-931710 | | APC | 2133.96 | 149.38 | EUR | 95.52 % | (DEAL) | 021000-931710 | | Sum | 2233.96 | 156.38 | EUR | ||| | Total | 2390.34 | Record created 2026-01-19, last modified 2026-01-22 OpenAccess: PDF

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endometriosis

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last seen: 2026-06-10T17:14:06.276822+00:00
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