Objective Pseudomonas aeruginosa has strong drug resistance and can tolerate a variety of
antibiotics, which is a major problem in the management of antibiotic-resistant infections …

Carbapenem resistance is a major concern in the management of antibiotic-resistant
Pseudomonas aeruginosa infections. The direct prediction of carbapenem-resistant …

Antimicrobial resistance (AMR) is now recognized as a global threat to human health. The
accessibility of microbial whole-genome sequencing offers an invaluable opportunity for …

Background Predicting which pathogens might exhibit antimicrobial resistance (AMR) based
on genomics data is one of the promising ways to swiftly and precisely identify AMR …

The prediction of antimicrobial resistance (AMR) based on genomic information can improve
patient outcomes. Genetic mechanisms have been shown to explain AMR with accuracies in …

Background Multidrug-resistant Pseudomonas aeruginosa has become a hazard to public
health, making medical treatment challenging and ineffective. Whole-genome sequencing …

Background Pseudomonas aeruginosa is a significant clinical pathogen that poses a
substantial threat due to its extensive drug resistance. The rapid and precise identification of …

Limited therapy options due to antibiotic resistance underscore the need for optimization of
current diagnostics. In some bacterial species, antimicrobial resistance can be …

Emerging resistance to antimicrobials and the lack of new antibiotic drug candidates
underscore the need for optimization of current diagnostics and therapies to diminish the …

Over the past decade, whole-genome sequencing (WGS) has overtaken traditional bacterial
typing methods for studies of genetic relatedness. Further, WGS data generated during …