Multidrug-resistant (MDR) bacteria are important public health problems. Antibiotic susceptibility testing (AST) currently uses time-consuming culture-based procedures, which cause treatment delays and increased mortality. We developed a machine learning model using
Acinetobacter baumannii
as an example to explore a fast AST approach using metagenomic next-generation sequencing (mNGS) data.