Barbara Maria Obermayer-Pietsch

CODI improves ML model generalization by integrating synthetic out-of-distribution data into molecular fingerprint datasets, enhancing classification accuracy in longitudinal clinical studies.

This study identifies 31 plasma proteins and expands genetic loci associated with PCOS, highlighting metabolic and hormonal influences and polygenic risk effects on cardio-metabolic outcomes.

This study develops a polygenic and phenotypic risk score for PCOS using EHR data, showing improved detection and identifying shared metabolic and endocrine comorbidities.

This study performs a large-scale genome-wide meta-analysis of PCOS cases and identifies genetic loci associated with PCOS and related traits, showing shared genetic architecture across different diagnostic criteria.