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.

Disclosure: T.P. Rocha: None. E. Melson: None. R.J. Veen: None. L. Abdi: None. T. McDonnell: None. V. Tandl: None. J. Hawley: None. L. Wittemans: None. A. Anthony: None. L. Gilligan: None. F. Shaheen: None. P. Kempegowda: None. C.D. Gillett: None. L. Cussen: None. C. Missbrenner: None. F. Lajeunesse...

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Detalles Bibliográficos
Autores principales: Rocha, Thaís P, Melson, Eka, Veen, Roland J, Abdi, Lida, McDonnell, Tara, Tandl, Veronika, Hawley, James, Wittemans, Laura, Anthony, Amarah, Gilligan, Lorna, Shaheen, Fozia, Kempegowda, Punith, Gillett, Caroline D T, Cussen, Leanne, Missbrenner, Cornelia, Lajeunesse-Trempe, Fannie, Gleeson, Helena, Rees, Aled, Robinson, Lynne, Jayasenna, Channa, Randeva, Harpal S, Randeva, Harpal Singh, Dimitriadis, Georgios K, Gomes, Larissa G, Sitch, Alice, Vradi, Eleni, Taylor, Angela E, O'Reilly, Michael W, Obermayer-Pietsch, Barbara Maria, Biehl, Michael, Arlt, Wiebke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Reproductive Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10554504/
http://dx.doi.org/10.1210/jendso/bvad114.1653

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