UF Health Researchers Developing AI System Aimed at Improving Kidney Transplant Outcomes

For people needing a kidney transplant, there has long been a sobering reality: The demand for usable organs falls well short of the supply. Now, University of Florida Health researchers and their colleagues are deploying artificial intelligence to help improve transplant outcomes.

UF Health researcher Pinaki Sarder, Ph.D., and his collaborators this month were awarded a $2.8 million, five-year grant to investigate how AI can better predict transplant results by rapidly analyzing kidney tissue samples and combining the samples with other patient data. The deficit of available kidneys makes improving outcomes for first-time transplants especially important, Sarder said.

The intent is to develop a system that uses AI tools to build autonomous models that can diagnose, predict and help physicians better manage patients’ care for the long term. Being able to precisely predict future problems with kidney transplants and pivot to optimal treatments could significantly reduce transplant rejections, Sarder said.

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