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Article

Leveraging large language models to predict antibiotic resistance in Mycobacterium tuberculosis.

Bioinformatics (Oxford, England) - 1 Jul 2025

Testagrose Conrad, Pandey Sakshi, Serajian Mohammadali, Marini Simone, Prosperi Mattia, Boucher Christina

Abstract excerpt

MOTIVATION: Antibiotic resistance in Mycobacterium tuberculosis (MTB) poses a significant challenge to global public health. Rapid and accurate prediction of antibiotic resistance can inform treatment strategies and mitigate the spread of resistant strains. In this study, we present a novel approach leveraging large language models (LLMs) to predict antibiotic resistance in MTB (LLMTB). Our model is trained and...

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Identifiers

PMID: 40662835
DOI: 10.1093/bioinformatics/btaf232
PMCID: PMC12261485

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