University of Michigan
By
University of Michigan
Published: Nov. 21, 2019, 2:41 p.m.·
Tags:
Scientific research,
Treatment
ANN ARBOR—With a shortage of new tuberculosis drugs in the pipeline, a software tool from the University of Michigan can predict how current drugs—including unlikely candidates—can be combined in new ways to create more effective treatments.
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By
University of Michigan
Published: Nov. 1, 2019, 1:49 a.m.·
Tags:
Scientific research
How a recently identified defensive compound called itaconate tricks the bacteria behind tuberculosis.
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By
University of Michigan
Published: Feb. 17, 2019, 10:45 a.m.·
Tags:
Diagnostics
ANN ARBOR—New diagnostic tools such as machine learning and precision medicine could help identify tuberculosis patients with the highest risk of reactivation of the disease, according to a new University of Michigan study.
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By
University of Michigan
Published: Oct. 28, 2017, 4:21 p.m.·
Tags:
Scientific research
An in-depth look at the work of T-cells, the body's bacteria killers, could provide a roadmap to effective drug treatments.
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By
University of Michigan
Published: Nov. 25, 2015, 8 p.m.·
Tags:
Treatment,
Drug-resistant TB,
Scientific research
A computer model of tuberculosis has shown that approved treatments prescribing antibiotic doses once or twice a week are more likely to lead to drug resistant strains than are daily antibiotic regimens.
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