Medical Xpress March 10, 2025
University of Florida researchers are addressing a critical gap in medical genetic research—ensuring it better represents and benefits people of all backgrounds.
Their work, led by Kiley Graim, Ph.D., an assistant professor in the Department of Computer & Information Science & Engineering, focuses on improving human health by addressing “ancestral bias” in genetic data, a problem that arises when most research is based on data from a single ancestral group. This bias limits advancements in precision medicine, Graim said, and leaves large portions of the global population underserved when it comes to disease treatment and prevention.
To solve this, the team developed PhyloFrame, a machine-learning tool that uses artificial intelligence to account for ancestral diversity in genetic data. The goal...
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