New AI Tools Speed Up Tuberculosis Drug Search

James Sacchettini works at Texas A&M University. He builds new tools for finding tuberculosis medicines. His team uses artificial intelligence. When scientists test many compounds, they get thousands of options. They must pick the best ones. This takes a lot of time. The new AI tool helps scientists choose faster. It also puts old research into a computer. Scientists can search it easily. "We want to make real medicine faster," Sacchettini said.