Deep Neural Network Stratification for the Use in Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)
Status: Recruiting
Location: See all (10) locations...
Intervention Type: Other
Study Type: Observational
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
Participation Requirements
Sex: Female
Minimum Age: 14
Maximum Age: 50
Healthy Volunteers: f
View:
• 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
Locations
United States
Arizona
New Horizons Clinical Trials
RECRUITING
Chandler
California
Velvet Clinical Research
RECRUITING
Burbank
Delaware
Reproductive Associates of Delaware (RAD)
RECRUITING
Newark
Georgia
Midtown OBGYN North
RECRUITING
Columbus
Advanced Women's Care Center
RECRUITING
Stockbridge
Indiana
Cindy Basinski, MD
RECRUITING
Forest Hill
Maryland
Johns Hopkins School of Medicine
RECRUITING
Baltimore
New York
Nezhat Surgery for Gynecology/Oncology
RECRUITING
Valley Stream
Ohio
Seven Hills Clinical Research
RECRUITING
Cincinnati
Virginia
Womens Health Services of Central Virginia
RECRUITING
Lynchburg
Contact Information
Primary
Marla Then, CRC
mthen@aspirawh.com
844-277-4721
Backup
Silvana Franco
sfranco@aspirawh.com
Time Frame
Start Date: 2022-07-12
Estimated Completion Date: 2026-06-30
Participants
Target number of participants: 1200
Authors
Lesley Northrop
Related Therapeutic Areas
Sponsors
Leads: Aspira Women's Health