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.
“This could replace our traditional trial-and-error system for drug development that is comparatively slow and expensive,” said Sriram Chandrasekaran, a U-M assistant professor of biomedical engineering.
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