Additional file 1 of Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning

Tomáš Kupec; Julia Wittenborn; Chao-Chung Kuo; Laila Najjari; Rebecca Senger; Philipp Meyer-Wilmes; Elmar Stickeler; J. Maurer

doi:10.6084/m9.figshare.31033773

Additional file 1 of Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning

Tomáš Kupec, Julia Wittenborn, Chao-Chung Kuo, Laila Najjari, Rebecca Senger, Philipp Meyer-Wilmes, Elmar Stickeler, J. Maurer

2026 · doi:10.6084/m9.figshare.31033773 · W7119609107

article OA: green CC0

View on OpenAlex View at publisher

⚙ AI-generated summary by claude@2026-06, 2026-06-14 ⓘ

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

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

Supplementary Material 1.

My notes (saved in your browser only)

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

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

License: CC0 · commercial use OK