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Combined Use of Machine Learning and Metabolomics to Improve the Diagnosis and Management of Hyperandrogenism
Sponsor: Assistance Publique - Hôpitaux de Paris
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
Key Details
Gender
FEMALE
Age Range
16 Years - 45 Years
Study Type
OBSERVATIONAL
Enrollment
800
Start Date
2026-01
Completion Date
2040-12
Last Updated
2025-12-04
Healthy Volunteers
No
Conditions
Interventions
data collection
collection of data from medical records over a period of 5 years