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NIH director: AI can dramatically shorten the path from discovery to patient care
Summary
Dr. Jay Baturadia told the panel that AI tools can predict complex biological behavior and accelerate drug discovery and clinical translation, and he set a goal of cutting the time between discovery and patient benefit substantially.
Dr. Jay Baturadia, director of the National Institutes of Health, told the Genesys panel that AI models can advance understanding of genomes and cells and speed the path from laboratory discoveries to interventions for patients. He said NIH will apply AI across basic science, clinical trial design and recruitment, and early detection of biological threats.
"I'm today setting a goal of ... cutting that time in 0.5 between fundamental discovery and fundamental transformation of patient care," Baturadia said, arguing that in-silico modeling and improved compute access will let researchers iterate therapies more quickly. He also described NIH's intent to involve all 27 institutes and centers in Genesys-related opportunities for early-career researchers and small businesses.
