
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.
Tuberculosis kills many people every year. It spreads through the air. The World Health Organization says it is the deadliest infectious disease. It has existed for thousands of years. Treatment takes many months. Some types of TB resist medicine. These cases need even more time. Most sick people live in poor countries. They do not have good hospitals nearby. Long treatment and poor care make the disease hard to beat.
The bacteria have a thick, waxy covering. Most medicines cannot pass through this covering. The bacteria also grow very slowly. One experiment can take months. This makes finding new drugs very hard. The slow growth is why drug discovery has been slow. AI can help speed up this slow process.