Digital Twin of Infant Microbiome Reliably Predicts Cognitive Deficits

Researchers at the University of Chicago have succeeded in creating a digital twin of the gut microbiome of premature infants that reliably models the many interactions taking place between quickly changing bacterial inhabitants. The so-called “Q-net” model, created with generative artificial intelligence (AI), was used to make predictions about which infants were going to have neurodevelopmental deficits using head circumference as the proxy, reports Ishanu Chattopadhyay, Ph.D., assistant professor of medicine.

Unlike other types of health-related measures, such as blood pressure and heart rate, there is no baseline for normal when it comes to microbes in the gut, he says. Digital twins are what will now enable the discovery of what constitutes a healthy microbiome while...

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