How an AI solution can design new tuberculosis drug regimens
With a shortage of new tuberculosis drugs in the pipeline, a software tool from U-M can predict how current drugs can be combined in new ways to create more effective treatments. Dubbed INDIGO (INferring Drug Interactions using chemoGenomics and Orthology) the application can also identify the genes that control these drug responses. “This could replace our traditional trial-and-error… Read More »
