NCT07253454

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

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 800 (estimated)
• Sponsor: Assistance Publique - Hôpitaux de Paris · Academic / Other
• Sex: Female
• Age: 16 Years – 45 Years
• Healthy volunteers: Not accepted

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

Detailed description

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

Type	Name	Description
OTHER	data collection	collection of data from medical records over a period of 5 years

Timeline

• Start date: 2026-01-01
• Primary completion: 2040-12-01
• Completion: 2040-12-01
• First posted: 2025-11-28
• Last updated: 2025-12-04