Non‐invasive tests for endometriosis are here; how reliable are they, and what should we do with the results?

Simon M Scheck, Claire Henry, Nicholas M. Bedford, Nick Bedford, Jason Abbott, M Wynn‐Williams, Michael Wynn-Williams, Anusch Yazdani, Simon McDowell
The Australian & New Zealand journal of obstetrics & gynaecology · 2023 · vol. 64(2) , pp. 168–170 · doi:10.1111/ajo.13765 · PMID:37934764 · W4388452452
article OA: hybrid CC0 ⤵ 7 in-corpus citations
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⚙ AI-generated summary by claude@2026-06, 2026-06-06 ⓘ

This paper reviews a commercially available, machine-learning-based microRNA test for endometriosis, discussing its scientific background, remaining questions, and cautioning against its use outside research settings.

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Abstract

A reliable non-invasive biomarker for endometriosis is highly likely in the coming years. In the lead-up to this, clinicians need to be aware of commercially available tests as they become accessible, be aware of the level of evidence to support them and be prepared to counsel and manage patients who present with the results of such tests. One such test gaining popularity in Europe was developed using a machine-based learning algorithm to analyse thousands of microRNAs based on a 200-patient cohort with suspected endometriosis in France. We explore the background science for this commercially available test; outline the questions that remain to be answered; and caution against its use outside of a research setting.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis MicroRNAs MicroRNAs MicroRNAs MicroRNAs MicroRNAs MicroRNAs MicroRNAs MicroRNAs Algorithms Algorithms Algorithms

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (12)

Cited by (7)

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europepmc
last seen: 2026-06-04T01:30:01.192114+00:00
openalex
last seen: 2026-06-04T00:00:01.174412+00:00
pubmed
last seen: 2026-06-04T00:33:22.554629+00:00
License: CC0 · commercial use OK