Tuberculosis drug discovery gets smarter with AI
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 Life Sciences Department of Biochemistry and Biophys
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India's first space-tech unicorn Skyroot Aerospace is set to launch Vikram-1 on Saturday.
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Musk's X, major labels end dispute over music on social-media platform Reuters
Painstakingly woven from the cocoons of silkworms, silk has been valued for more than 4,000 years as a luxury material. …