Using an artificial intelligence (AI) model to standardize and analyze a massive, global set of whole genome sequencing (WGS) data for Cronobacter sakazakii, University of Maryland researchers have discovered genetic traits that may explain the pathogen’s persistence and virulence in low-moisture foods like powdered infant formula.
