Deep Neural Network Stratification for Use Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)

Recruiting now

Conditions studied: Endometriosis

In brief

The goal of this observational study is to determine the clinical validity of a deep neural network algorithm that utilizes protein biomarker detection of Endometriosis - "EndoCheck" - as an "aid in diagnosis" for endometriosis and to show validity as a diagnostic test

Key facts

Study ID
NCT05245695
Run by
Aspira Women's Health
People needed
1200
Starts
2022-07-12
Expected to finish
2026-06-30
Last updated by the study team
2026-06-04

Who can join

Age: 14 and older, up to 50. Sex: female. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.