Article

Genomic Diagnostics for Drug-Resistant Mycobacterium tuberculosis: Computational Prediction of Antimicrobial Resistance

2026-05-25

Abstract excerpt

Tuberculosis (TB) remains a leading cause of infectious disease mortality, and the continued emergence of drug-resistant Mycobacterium tuberculosis (MTB) strains threatens the effectiveness of standard treatment regimens. Culture-based antibiotic susceptibility testing (AST) remains the clinical reference standard for resistance determination but typically requires six to eight weeks, delaying initiation of optim...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 22e2a65b-2f88-503c-8875-0cc426555754
DOI: 10.64898/2026.05.25.727578

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Genomic Diagnostics for Drug-Resistant Mycobacterium tuberculosis: Computational Prediction of Antimicrobial ResistanceDOI 10.64898/2026.05.25.727578Read

Leveraging large-scale Mycobacterium tuberculosis whole genome sequence data to characterise drug-resistant mutations using machine learning and statistical approaches.Semantic proximity Read

A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics.Semantic proximity Read

Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing DataSemantic proximity Read

Decoding drug resistance in Mycobacterium tuberculosis complex: genetic insights and future challenges.Semantic proximity Read

Whole-genome sequencing reveals genotypic resistance in phenotypically susceptible Mycobacterium tuberculosis clinical isolates.Semantic proximity Read

GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learningSemantic proximity Read

Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort studySemantic proximity Read

Bringing TB genomics to the clinic: A comprehensive pipeline to predict antimicrobial susceptibility from genomic data, validated and accredited to ISO standardsSemantic proximity Read

Rapidly and reproducibly building a comprehensive catalogue of resistance-associated variants for <i>M. tuberculosis</i>Semantic proximity Read

GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learningSemantic proximity Read

A data compendium of <i>Mycobacterium tuberculosis</i> antibiotic resistanceSemantic proximity Read

TB-Genaly: A multicenter evaluated whole genome sequencing pipeline for tuberculosis drug resistance assessment and transmission analysis.Semantic proximity Read