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

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

Inclusion Criteria: * 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 Exclusion Criteria: * 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