RecruitingEndometriosis

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

Eligible age

14–50 yrs

Accepts

Women

Locations

9 states

Healthy volunteers

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About this study

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

Sponsor: Aspira Women's Health

You may qualify if…

✓ Participant is willing and able to provide written informed consent.
✓ Participant is a female aged 14 to 50 years old at time of consent.
✓ Participant is scheduled to undergo laparotomy or laparoscopy for symptomology consistent with possible endometriosis

You may not qualify if…

✕ Participant is a female in a pre-menarchal state.
✕ Participant is pregnant.
✕ Participant has an active malignancy.
✕ Participant is known to have tested positive for human immunodeficiency virus or hepatitis A, B, or C.
✕ Participant has an active pelvic infection or other infections contraindicated for surgery.
✕ Participant has participated (±3 months of study enrollment) in a clinical trial where an investigational drug/ device/ procedure was or is planned to be administered.
✕ Participant has any general health or behavioral condition that, in the opinion of the investigator, should exclude the participant from participation.
✕ Participant is under 14 years old or over 50 years old