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Article

Machine learning-based prediction of antibiotic resistance in Mycobacterium tuberculosis clinical isolates from Uganda.

BMC infectious diseases - 5 Dec 2024

Babirye Sandra Ruth, Nsubuga Mike, Mboowa Gerald, Batte Charles, Galiwango Ronald, Kateete David Patrick

Abstract excerpt

BACKGROUND: Efforts toward tuberculosis management and control are challenged by the emergence of Mycobacterium tuberculosis (MTB) resistance to existing anti-TB drugs. This study aimed to explore the potential of machine learning algorithms in predicting drug resistance of four anti-TB drugs (rifampicin, isoniazid, streptomycin, and ethambutol) in MTB using whole-genome sequence and clinical data from Uganda. We...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39639222
DOI: 10.1186/s12879-024-10282-7
PMCID: PMC11622658

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