AI identifies pathogenesis pathways, risk for Crohn’s disease

AVA,Dx, a machine learning method for risk prediction of Crohn’s disease, revealed new potential CD genes and accurately identified the disease in a group of more than 3,000 individuals, according to a recent study.Yana Bromberg, PhD, associate professor in the department of biochemistry and microbiology at Rutgers University New Brunswick, and colleagues used person-specific coding variation in genes from a panel of 111 individuals to create disease prediction models. AVA,Dx was used to examine four panels of individuals containing 2,793 individuals with CD and 697 individuals withoutRead More

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