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Utah research uses AI to find biological factors that pose risk to pregnancy
With the help of artificial intelligence, researchers at University of Utah Health have discovered previously unidentified combinations of risk factors linked to serious pregnancy outcomes, including stillbirth. Dr. Nathan Blue, senior author of the study and assistant professor of maternal fetal medicine in the department of obstetrics and gynecology at U of U Health, said one of the most interesting findings is that if a woman has preexisting diabetes while pregnant, it puts female fetuses at a higher risk than males for experiencing complications. “This was a very unexpected ...