Inside Precision Medicine April 12, 2024
Research led by the University of Chicago shows an artificial intelligence (AI) driven “digital twin” modeling the infant microbiome can predict neurodevelopmental problems later in infancy.
Using data on very early gut microbiome composition from fecal samples from preterm babies the digital twin predicted later microbiome composition and associated neurodevelopmental deficits with a good degree of accuracy.
“You can only get so far by looking at snapshots of the microbiome and seeing the different levels of how many bacteria are there, because in a preterm infant, the microbiome is constantly changing and maturing,” said Ishanu Chattopadhyay, assistant professor of medicine at the University of Chicago and lead author of the Science Advances study, in a press statement.
“So, we developed...
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