Article

Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning

2021-09-16

Abstract excerpt

There remains a clinical need for better approaches to rapid drug susceptibility testing in view of the increasing burden of multidrug resistant tuberculosis. Binary susceptibility phenotypes only capture changes in minimum inhibitory concentration when these cross the critical concentration, even though other changes may be clinically relevant. We developed a machine learning system to predict minimum inhibitory...

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Literature Corpus work: 0de7f58c-e32f-5b6e-ac5b-8e477b2a4a39
DOI: 10.1101/2021.09.14.458035

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