RecruitingNCT05245695

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

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

Sponsor

Aspira Women's Health

Enrollment

1,200 participants

Start Date

Jul 12, 2022

Study Type

OBSERVATIONAL

Conditions

Endometriosis

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

Eligibility

Sex: FEMALEMin Age: 14 YearsMax Age: 50 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Observational study, no intervention for people with endometriosis. The study is currently recruiting participants at 10 locations. People eligible for this study include women aged 14 Years to 50 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERObservational study, no intervention

Observational study, no intervention

Locations(10)

New Horizons Clinical Trials

Chandler, Arizona, United States

Velvet Clinical Research

Burbank, California, United States

Reproductive Associates of Delaware (RAD)

Newark, Delaware, United States

Midtown OBGYN North

Columbus, Georgia, United States

Advanced Women's Care Center

Stockbridge, Georgia, United States

Cindy Basinski, MD

Forest Hill, Indiana, United States

Johns Hopkins School of Medicine

Baltimore, Maryland, United States

Nezhat Surgery for Gynecology/Oncology

Valley Stream, New York, United States

Seven Hills Clinical Research

Cincinnati, Ohio, United States

Womens Health Services of Central Virginia

Lynchburg, Virginia, United States

View Full Details on ClinicalTrials.gov

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NCT05245695

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