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Researchers develop AI tool to reduce ancestral bias in genetic data for precision medicine.
Researchers at the University of Florida have developed an AI tool called PhyloFrame to tackle ancestral bias in genetic data, enhancing precision medicine.
PhyloFrame integrates diverse genetic information to improve disease prediction and treatment effectiveness for various ancestral backgrounds.
This advancement aims to reduce health disparities by making medical treatments more inclusive and precise.
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Los investigadores desarrollan una herramienta de IA para reducir el sesgo ancestral en los datos genéticos para la medicina de precisión.