National Cancer Institute

Experts at City of Hope, a cancer research and treatment center, believe that AI tools will continue to improve precision medicine, streamline patient care and increase access to clinical trials.

Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy.

Investigators employed artificial intelligence to characterize tissue samples of high-risk NMIBC that were likely to recur or progress after treatment with intravesical bacillus Calmette-Guérin (BCG).

Experts say the approach could also save millions of pounds by cutting projects or clinical trials that would otherwise fail.

The field of cancer treatment has long struggled with the immense costs and time-consuming nature of drug development. Traditional methods often take over a decade and billions of dollars to bring a single drug to market,

Medical errors are the third leading cause of death in the U.S., contributing to over 250,000 preventable deaths each year. NeuralCure AI is tackling this crisis head-on by eliminating diagnostic blind spots and accelerating treatment precision with its cutting-edge AI-driven decision support system.

UNC Charlotte researchers are contributing to pioneering breakthroughs in cancer therapeutics, communicable disease forecasting and prevention, optical applications for health care, and use of AI and other innovative computational tools — and more.

For the second year running, the National Association of State Chief Information Officers ranks artificial intelligence among its top federal advocacy priorities.