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.