A new computational modeling method uses snapshots of which types of microbes are found in a person's gut to predict how the microbial community will change over time. The tool, developed by Liat Shenhav, Leah Briscoe and Mike Thompson from the Halperin lab, University of California Los Angeles, and colleagues at the Mizrahi lab at Ben-Gurion University, Israel, is presented in PLOS Computational Biology.
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