Article

Machine Learning Predicts Antimicrobial Resistance from Genomic Data across ESKAPEE Pathogens

2025-08-01

Abstract excerpt

<title>Abstract</title> <p>Antimicrobial resistance (AMR) is a mounting global crisis, fueled by the rapid emergence of multidrug-resistant bacteria. Among the most concerning culprits are the ESKAPEE bacteria—Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterobacter spp., and Escherichia coli—which are leading causes of hospital-acquired inf...

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Literature Corpus work: ad207e72-81aa-5eeb-a69c-9a79da1b42ac
DOI: 10.21203/rs.3.rs-7190203/v1

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