IntroductionAntibiotics are crucial for preventing infection-induced complications, but their widespread overuse has spurred the evolution of antimicrobial resistance (AMR) mechanisms in pathogens. Data-driven biosurveillance approaches utilizing whole genome sequencing data and computational approaches have the potential to improve the detection and characterization of known and emerging AMR profiles, especially in high-priority ESKAPE, enteric, and sexually-transmitted pathogens.MethodsIn this