Texas A&M AgriLife researchers led by James Sacchettini have developed artificial intelligence tools to accelerate tuberculosis drug discovery by filtering thousands of screening compounds and organizing collaborative research data. The AI platform helps identify "nuisance molecules" that waste time and resources, addressing a critical need in TB research—the world's deadliest infectious disease, which disproportionately affects lower-income regions and requires months of treatment. Sacchettini's lab created DAIKON, an open-source platform now used by the Gates Foundation-backed Tuberculosis Drug Accelerator across multiple labs and companies to streamline the path from initial drug screening to viable treatments.
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