New generative AI tool models the infant microbiome

Apr 10 2024University of Chicago Understanding how gut bacteria interact, and how these interactions may lead to some of these problems, however, is difficult and time consuming through traditional laboratory experiments.

Just like other forms of AI, the digital twin concept is a potentially transformative technology, bridging the fields of computer science, engineering, mathematics, and life sciences to replicate the behavior of biological systems. In the case of microbiome dynamics, Chattopadhyay says it's a matter of scale. Typical wet lab experiments that test the interactions of bacteria are time consuming.

You can't just give probiotics and hope that the developmental risk is going to go down. What you are supplanting is important, and for many subjects, you also have to time it precisely." Since Q-net can identify potentially interesting combinations of bacteria, it vastly narrows the search for potential treatment targets. If the gut microbiome is the proverbial haystack, Q-net can give researchers the one-inch squares where they can find the needles.

Source: Healthcare Press (healthcarepress.net)

Artificial Intelligence Bacteria Dysbiosis Intensive Care Laboratory Medicine Neonatal Intensive Care Research

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