In a major scientific breakthrough, researchers at the University of Tokyo have used artificial intelligence to decode hidden relationships between gut bacteria and human health. Using a Bayesian neural network model named VBayesMM, the team mapped how specific gut microbes influence human metabolites&mdash;chemical compounds crucial to bodily functions.
The gut hosts over 100 trillion bacteria, significantly more than the number of human cells. Understanding which bacteria produce which metabolites&mdash;and how these change across diseases&mdash;could lead to personalised treatments, said researcher Tung Dang from the Tsunoda lab.
VBayesMM stands out by identifying influential bacteria while handling uncertainty in data. When tested on datasets related to sleep disorders, obesity, and cancer, the AI consistently outperformed existing models and matched known biological patterns.
Unlike traditional tools, VBayesMM doesn&rsquo;t overpromise&mdash;it reveals valuable insights while highlighting areas of uncertainty, making it more reliable for medical research.
As computational power improves, the team aims to expand their analysis to broader datasets, even if they contain confounding elements like diet or environmental factors.
This AI-powered advancement brings science a step closer to personalised medicine through gut microbiome profiling.
[Except for the headline, this article has not been edited by the Benefit News editorial team and is published directly from the IANS news feed.]
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AI Breakthrough Maps Gut Bacteria Links to Human Health

Tokyo researchers use AI to uncover hidden links between gut microbes and human metabolic health.

AI Breakthrough Maps Gut Bacteria Links to Human Health

Tokyo researchers use AI to uncover hidden links between gut microbes and human metabolic health.

July 6, 2025 | 18:41 IST