hrp0092p1-3 | Adrenals and HPA Axis | ESPE2019

Simplifying the Interpretation of Steroid Metabolome Data by a Machine-Learning Approach

Kirkgoz Tarik , Kilic Semih , Abali Zehra Yavas , Yaman Ali , Kaygusuz Sare Betul , Eltan Mehmet , Turan Serap , Haklar Goncagul , Sagiroglu Mahmut Samil , Bereket Abdullah , Guran Tulay

Background: Liquid chromatography-mass spectrometry (LC-MS) based panels of steroid hormones and their precursors offer a distinct pattern of steroid metabolome for various disorders of adrenal and gonadal steroidogenesis. However, it may not be easy to handle this high throughput data rapidly in clinical setting which requires expert opinion for correct interpretations. Analytical results of steroid panelling can be allied to automated review systems to simpl...