Article

Minimal Gene Signatures Enable High-Accuracy Prediction of Antibiotic Resistance in <i>Pseudomonas aeruginosa</i>

2025-05-03

Abstract excerpt

Antimicrobial resistance (AMR) in Pseudomonas aeruginosa poses a critical global health challenge, with current diagnostics relying on slow, culture-based methods. Here, we present a ML framework leveraging transcriptomic data to predict antibiotic resistance with high accuracy. We applied a genetic algorithm to 414 clinical isolates to identify minimal, highly predictive gene sets (∼35–40 genes) distinguishing re...

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Literature Corpus work: 9b8f7790-96bb-5de5-a73c-64c983d328b3
DOI: 10.1101/2025.04.29.651273

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