Antibiotics have been used to cure bacterial infections for more than 70 years, and these low-
molecular-weight bioactive agents have also been used for a variety of other medicinal …

Abstract Machine learning is increasingly important in microbiology where it is used for tasks
such as predicting antibiotic resistance and associating human microbiome features with …

By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …

Clinical microbiology has long relied on growing bacteria in culture to determine
antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic …

Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern
medicine. Effective prevention strategies are urgently required to slow the emergence and …

Motivation Antimicrobial resistance (AMR) is one of the biggest global problems threatening
human and animal health. Rapid and accurate AMR diagnostic methods are thus very …

Genome-wide association study (GWAS) methods applied to bacterial genomes have
shown promising results for genetic marker discovery or detailed assessment of marker …

Throughout scientific literature, we can find evidence that antimicrobial resistance has
become a big problem in the recent years on a global scale. Public healthcare systems all …

In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …

Background Antimicrobial resistance (AMR) is a rising health threat with 10 million annual
casualties estimated by 2050. Appropriate treatment of infectious diseases with the right …