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

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
Age16-45
SponsorAssistance Publique - Hôpitaux de Paris

About this trial

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

Eligibility criteria

Qualifiers

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

Disqualifiers

Pregnancy

Patients under legal protection measures

Trial design

Treatments tested in this trial

  • data collection

Treatment groups

800 Participants
are divided into 1 treatment group

Locations

This trial has no locations