image: The workflow of AI-based WGS-AST prediction. view more
Credit: Biosafety and Health
The wide use and abuse of antibiotics could make antimicrobial resistance (AMR) an increasingly serious issue that threatens global health and imposes an enormous burden on society and the economy. Artificial intelligence (AI) represents a new paradigm to combat AMR. Thus, various AI approaches to this problem have been developed, some of which may be considered successful cases of domain-specific AI applications in AMR. In this review article, the authors briefly introduce how to employ AI technology against AMR by using a predictive AMR model, the rational use of antibiotics, antimicrobial peptides (AMPs) and antibiotic combinations, as well as future research directions.
Keywords: Artificial intelligence, Antimicrobial resistance, Whole-genome sequencing, Clinical decision support systems, Drug combinations
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CiteScore: 3.8
ISSN 2590-0536
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