New machine learning tool predicts devastating intestinal disease in premature infants

Researchers have developed a sensitive and specific early warning system for predicting necrotizing enterocolitis (NEC) in premature infants before the life-threatening intestinal disease occurs. The prototype predicts NEC accurately and early, using stool microbiome features combined with clinical and demographic information.

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