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- OR20-01 Machine Learning-based Steroid Metabolome Analysis In Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles.
- Metabolic syndrome and metabolic risk profile according to polycystic ovary syndrome phenotype
- Evaluation of hyperandrogenemia and metabolic risk profile in women with postadolescent acne
- Cardiovascular and Metabolic Risk Profiles Across Different Phenotypes of Polycystic Ovary Syndrome
- Hormonal Profile and Anthropometric Indices As Determinants of Metabolic Risk in Polycystic Ovary Syndrome: A Prospective Observational Study
- Persistent Poor Metabolic Profile in Postmenopausal Women With Ovarian Hyperandrogenism After Testosterone Level Normalization
- Clinical profile of androgenic alopecia and its association with cardiovascular risk factors
- Machine learning-based steroid metabolome analysis reveals three distinct subtypes of polycystic ovary syndrome and implicates 11-oxygenated androgens as major drivers of metabolic risk
- Cardiovascular Risk Factors in Bulgarian Patients with Polycystic Ovary Syndrome and/or Obesity
- Effect of Exercise Interventions on Metabolic, Reproductive and Mental Health in Overweight Women with Polycystic Ovary Syndrome
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