Jochen Maurer

No ORCID on file · 4 papers in corpus · active 2025-2026

Study types

  • article 2
  • other 2

Condition tags

  • endometriosis 4
  • chronic_pelvic_pain 2
  • infertility 2
  • adenomyosis 1
article 2026
Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
·doi:10.18154/rwth-2026-00724
article 2026
Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
Reproductive biology and endocrinology : RB&E ·doi:10.1186/s12958-025-01517-6

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 laparos…

other 2025
Diagnostic Potential of Serum Circulating miRNAs for Endometriosis in Patients with Chronic Pelvic Pain
Journal of clinical medicine ·doi:10.3390/jcm14145154

Background: Endometriosis is a chronic gynecological condition marked by ectopic endometrial-like tissue, leading to inflammation, pain, and infertility. Diagnosis is often delayed by up to 10 years. Identifying non-invasive biomarkers coul…

other 2025
Urine and Serum miRNA Signatures for the Non-Invasive Diagnosis of Adenomyosis: A Machine Learning-Based Pilot Study
Diagnostics ·doi:10.3390/diagnostics15233012

Background: Adenomyosis remains difficult to diagnose non-invasively due to clinical overlap with endometriosis and the limited specificity of imaging techniques. This pilot study evaluated whether serum- and urine-derived microRNA (miRNA) …