The emergence of antimicrobial resistance (AMR) poses a global threat of growing concern
to the healthcare system. To mitigate the spread of resistant pathogens, physicians must …

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 …

The issue of antimicrobial resistance (AMR) in pathogenic microorganisms has emerged as
a global public health crisis, posing a significant threat to the modern healthcare system. The …

Background and objective: Antimicrobial resistance (AMR) is becoming a growing concern
worldwide, and traditional methods for predicting AMR are time-consuming and expensive …

Machine learning: novel bioinformatics approaches for combat... : Current Opinion in Infectious
Diseases Machine learning: novel bioinformatics approaches for combating antimicrobial …

Antimicrobial resistance (AMR) is a growing threat to public health and farming at large. In
clinical and veterinary practice, timely characterization of the antibiotic susceptibility profile …

Recently, the frequency of observing bacterial strains without known genetic components
underlying phenotypic resistance to antibiotics has increased. There are several strains of …

Antimicrobial resistance (AMR) remains one of the most challenging phenomena of modern
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …

In his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial
resistance (AMR) if the necessary precautions were not taken diligently. As the growing …

Introduction Machine learning (ML) is increasingly being used to predict antimicrobial
resistance (AMR). This review aims to provide physicians with an overview of the literature …