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Researchers at the University of Tokyo have developed an artificial intelligence system that can identify which gut bacteria produce specific chemicals that affect human health.
VBayesMM combines neural networks with Bayesian statistics to sift through massive datasets containing information about both bacterial populations and metabolite levels.
The new system uses what researchers call a “spike-and-slab” approach to identify only the most influential microbial players.
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