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Mechanistic deconvolution of tuberculosis treatment failure using multiomic and causal network approaches

2026-03-08

Abstract excerpt

<title>Abstract</title> <p> Background The global tuberculosis (TB) epidemic is increasingly characterized by 'recycled' cases—patients who fail treatment or relapse, fueling transmission and drug resistance. Current diagnostic tools are inadequate for predicting these unfavorable outcomes at the point of care. While blood transcriptomic signatures have been developed, they typically lack mechanistic resolution...

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Literature Corpus work
4c714d62-6f87-5027-b8b3-6439f88d3ea4
DOI
10.21203/rs.3.rs-8820174/v1
Open publication

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Mechanistic deconvolution of tuberculosis treatment failure using multiomic and causal network approachesDOI 10.21203/rs.3.rs-8820174/v1
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