Whole-genome sequencing of antimicrobial-resistant pathogens is increasingly being used
for antimicrobial resistance (AMR) surveillance, particularly in high-income countries …

Machine learning (ML) algorithms are increasingly applied in medical research and in
healthcare, gradually improving clinical practice. Among various applications of these novel …

Background A critical and persistent challenge to global health and modern health care is
the threat of antimicrobial resistance (AMR). Previous studies have reported a …

The hospital environment significantly contributes to the onset of healthcare-associated
infections (HAIs), which represent one of the most frequent complications occurring in …

The increasing global threat of antibiotic resistance, which has resulted in countless fatalities
due to untreatable infections, underscores the urgent need for a strategic action plan. The …

In recent decades, antimicrobial resistance has been augmented as a global concern to
public health owing to the global spread of multidrug-resistant strains from different ESKAPE …

Surveillance programs for managing antimicrobial resistance (AMR) have yielded
thousands of genomes suited for data-driven mechanism discovery. We present a workflow …

Introduction Enterococcus spp. have gradually evolved from commensals to causing life-
threatening hospital-acquired infections globally due to their inherent antimicrobial …

Foodborne Salmonella infection remains a major public health concern worldwide. With
rising antimicrobial resistance, genomic surveillance is key to tracking outbreaks and …

Plasmids are major vectors of bacterial antibiotic resistance, but understanding of factors
associated with plasmid antibiotic resistance gene (ARG) carriage is limited. We curated> …