How an AI Solution can Design New Tuberculosis Drug Regimens

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, U-M assistant professor of biomedical engineering, who leads the research.
Source: eHealth News EU - Category: Information Technology Tags: Featured Research Research and Development Source Type: news