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FARM: Forecasting Antibiotic Resistance in <i>Mycobacterium tuberculosis</i> using biophysics and machine learning

2026-07-25

Abstract excerpt

Antibiotic-resistant tuberculosis remains a major public health challenge, and rapid diagnosis of resistant infections based on genomic markers holds promise for improving time to effective treatment. However, the vast majority of clinically observed variants in resistance-associated genes remain of uncertain significance, limiting the utility of predictors. Here we develop a multimodal forecasting framework, FARM...

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Literature Corpus work
eda4c367-e55d-54e7-b336-efe20eae1948
DOI
10.64898/2026.07.23.740359
Open publication

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FARM: Forecasting Antibiotic Resistance in <i>Mycobacterium tuberculosis</i> using biophysics and machine learningDOI 10.64898/2026.07.23.740359
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