A new technology that combines high throughput imaging and machine learning could speed discovery of drugs to fight tuberculosis, which for generations has killed more people worldwide than any other disease caused by a single agent—4,000 people every day.
Current treatment requires multiple drugs for at least six months and sometimes years, and antibiotic resistance is growing, increasing urgency for finding new treatments.
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