Molecule

Researchers have introduced an AI method that ranks metabolites according to how much each one influences the predictions of graph neural networks. The approach aims to make metabolomics models more interpretable by showing which molecules drive outcomes, a step researchers say could support biomarker discovery and a better understanding of metabolic processes in health and disease.