S20-292 OmiXLearn: Machine learning analysis for metabolomics diagnostics and biomarker discovery Scientists at Stanford have developed a machine learning program with broad potential for diagnostic applications which analyzes mass spectrometry data profiling metabolites in a patient sample ("metabolomics" data) and predicts infection status. Pranav Rajpurkar Benjamin Pinsky Anthony Le Catherine Hogan