Combined Use of Machine Learning and Metabolomics to Improve the Diagnosis and Management of Hype… (NCT07253454) | Clinical Trial Compass
Not Yet RecruitingNot Applicable
Combined Use of Machine Learning and Metabolomics to Improve the Diagnosis and Management of Hyperandrogenism
800 participantsStarted 2026-01
Plain-language summary
Hyperandrogenism is a common reason for consultation, the causes of which can range from common conditions (PCOS) to rarer conditions with major genetic implications (NC21OHD). It is characterized by elevated levels of circulating androgens, mainly testosterone. This excess of androgens usually manifests clinically as increased male-pattern hair growth and, less specifically, acne and alopecia. Its prevalence is estimated at between 6 and 12% in women of reproductive age, and its incidence is increasing.
It is also responsible for infertility. As a reminder, infertility is a major public health issue and affects more and more couples around the world.
The investigators therefore wish to develop innovative tools to improve the diagnosis and management of hyperandrogenism
Who can participate
Age range
16 Years – 45 Years
Sex
FEMALE
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Patients of childbearing age (16 to 45 years old)
* Suffering from hyperandrogenism
* Established etiological diagnosis with elimination of differential diagnoses
* Informed and not opposed to the collection of their data for the purposes of the study
Exclusion Criteria:
* Pregnancy
* Patients under legal protection measures
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Use of machine learning models combined with metabolomics to distinguish between different causes of hyperandrogenism