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.

    October 2023 in “Journal of the Endocrine Society
    Thaís Rocha, Eka Melson, Roland J. Veen, Lida Abdi, Tara McDonnell, Veronika Tandl, James Hawley, Laura B. L. Wittemans, Amarah Anthony, Lorna Gilligan, Fozia Shaheen, Punith Kempegowda, Caroline D. T. Gillett, Leanne Cussen, Cornelia Missbrenner, Fannie Lajeunesse-Trempe, Helena Gleeson, Aled Rees, Lauren Robinson, Channa Jayasenna, Harpal S. Randeva, Harpal S. Randeva, Georgios K. Dimitriadis, Larissa Gomes, Alice Sitch, Eleni Vradi, Angela E. Taylor, Michael O’Reilly, Barbara Obermayer‐Pietsch, Michael Biehl, Wiebke Arlt
    TLDR Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
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