ArticleCell systems2021
Consequential drug combinations for tuberculosis treatments.
Article in Cell systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors at 1 institution in 1 country.
Funding
Abstract
Improved therapies for tuberculosis will require the careful revision of complex, multi-drug regimens. In this issue of Cell Systems, Larkins-Ford et al. integrate extensive dose-response measurements of drug combinations, in vivo animal data, and computational analysis to provide a new predictive framework for the prioritization of specific antitubercular drug regimens.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.