Article

Harnessing Interpretable Deep Learning to Predict Resistance in <i>Klebsiella pneumoniae</i>

2025-11-05

Abstract excerpt

<h4>ABSTRACT</h4> Antimicrobial resistance constitutes an escalating global health threat, complicating therapeutic management and increasing morbidity and mortality. Deep learning approaches have emerged as promising tools for bacterial profiling based on omics data, particularly for predicting antimicrobial susceptibility from genomic information. This task relies on identifying genomic signatures associated wi...

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Literature Corpus work: 5faaaed7-93dd-501e-977e-8132c41e48f0
DOI: 10.1101/2025.11.04.686393

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