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Combined Use of Machine Learning and Metabolomics to Improve the Diagnosis and Management of Hyperandrogenism

NCT07253454 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 800

Last updated 2025-12-04

No results posted yet for this study

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

Conditions

  • Hyperandrogenism

Interventions

OTHER

data collection

collection of data from medical records over a period of 5 years

Sponsors & Collaborators

  • Assistance Publique - Hôpitaux de Paris

    lead OTHER

Eligibility

Min Age
16 Years
Max Age
45 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-31
Primary Completion
2040-12-31
Completion
2040-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07253454 on ClinicalTrials.gov