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

Abstract Background Endometriosis is a chronic gynecological disease associated with pain, infertility, and delayed diagnosis. Non-invasive biomarkers are urgently needed to facilitate earlier detection and reduce the reliance on diagnostic laparoscopy. MicroRNAs (miRNAs) are stable in body fluids a...

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Bibliografiske detaljer

Principais autores:	Tomas Kupec, Julia Wittenborn, Chao-Chung Kuo, Laila Najjari, Rebecca Senger, Philipp Meyer-Wilmes, Elmar Stickeler, Jochen Maurer
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2026-01-01
Serier:	Reproductive Biology and Endocrinology
Fag:	Endometriosis Chronic pelvic pain Urine miRNA Liquid biopsy Biomarker
Online adgang:	https://doi.org/10.1186/s12958-025-01517-6
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