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

NCT05245695 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1200

Last updated 2025-06-25

No results posted yet for this study

Summary

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

Conditions

  • Endometriosis

Interventions

OTHER

Observational study, no intervention

Observational study, no intervention

Sponsors & Collaborators

  • Aspira Women's Health

    lead INDUSTRY

Principal Investigators

  • Todd Pappas, PhD · Aspira Women's Health

Eligibility

Min Age
14 Years
Max Age
50 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-07-12
Primary Completion
2026-06-30
Completion
2026-06-30

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05245695 on ClinicalTrials.gov