University of Michigan: How AI Solution Can Design New Tuberculosis Drug Regimens
November 21, 2019
November 21, 2019
ANN ARBOR, Michigan, Nov. 21 -- The University of Michigan issued the following news release:
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 C . . .
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 C . . .