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

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

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 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 …

Recent advancements in sequencing technology and data analytics have led to a
transformative era in pathogen detection and ty**. These developments not only expedite …

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

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 …

The diagnosis and treatment of bacterial infections in the medical and public health field in
the 21st century remain significantly challenging. Artificial Intelligence (AI) has emerged as a …

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

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