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September 23, 2025GutOpen Access

AI-empowered human microbiome research

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Authors

ZTZhou TianFZFangqing Zhao

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Overview

Review explores AI techniques enhancing microbiome data analysis for health applications, suggesting new insights.

Key Points

  • AI enhances the analysis of complex microbiome data, revealing biological patterns and interactions.
  • Utilizing techniques like machine learning and deep learning improves the understanding of host–microbe relationships.
  • Systematic exploration of AI methods shows potential for applications in diagnostics and therapeutic development.
  • Current limitations and future directions of AI in microbiome research highlight the need for personalized medicine.

Cite This Study

Tian et al. (2025) studied this question.

synapsesocial.com/papers/68d43ed7713b0b5dfea7e57bhttps://doi.org/10.1136/gutjnl-2025-335946
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