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Tuberculosis drug discovery gets smarter with AI

Summary by Phys.org
When researchers screen potential tuberculosis drugs, they often end up with too many options. Some look promising but later prove to be costly dead ends. "We might get thousands of compounds from a screen and then have to decide which one are we going to work on?" said James Sacchettini, Ph.D., the Rodger J. Wolfe-Welch Foundation Chair in Science, Texas A&M AgriLife Research scientist and professor in the Texas A&M College of Agriculture and L…

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Phys.org broke the news in Douglas, United Kingdom on Friday, July 17, 2026.
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