University of Michigan

How an AI solution can design new TB drug regimens

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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Immune system targets vitamin B12 pathway to neutralize TB bacteria

How a recently identified defensive compound called itaconate tricks the bacteria behind tuberculosis.

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Precision immunoprofiling could help reduce latent tuberculosis infection

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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Closest look yet at killer T-cell activity could yield new approach to tackling antibiotic resistance

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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Tuberculosis: Daily antibiotics recommended to prevent resistant strains

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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