Article
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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Identifiers and source
- Literature Corpus work
- 4c714d62-6f87-5027-b8b3-6439f88d3ea4
- DOI
- 10.21203/rs.3.rs-8820174/v1
