Article

From sequence to signature: Machine learning uncovers multiscale feature landscapes that predict AMR across ESKAPE pathogens

2025-07-07

Abstract excerpt

Since the clinical introduction of antibiotics in the 1940s, antimicrobial resistance (AMR) has become an increasingly dire threat to global public health. Pathogens acquire AMR much faster than we discover new drugs (antibiotics), warranting innovative methods to better understand its molecular underpinnings. Traditional approaches for detecting AMR in novel bacterial strains are time-consuming and labor-intensiv...

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Literature Corpus work: 1c42699e-d22d-5fdb-a8d7-9a803e76aa29
DOI: 10.1101/2025.07.03.663053

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