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.
Researchers at Stanford have developed a simplified LC-MS/MS metabolomics analysis method that requires only a single injection to analyze both polar and non-polar molecules with high resolution of isomeric compounds.