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October 2, 2025Frontiers in MicrobiologyOpen Access

Beyond just correlation: causal machine learning for the microbiome, from prediction to health policy with econometric tools

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Authors

IKIssam KhelfaouiWWWenxin WangHMHicham Meskher

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Overview

This review illustrates machine learning and econometric tools in causal inference of the microbiome, suggesting implications for health policy.

Key Points

  • Microbiome research can translate microbial associations into actionable health interventions.
  • Machine learning frameworks have identified microbial drivers, enhancing targeted health strategies.
  • Econometric tools validate causal relationships while addressing high-dimensional effects.
  • Policy translation benefits from standardized analytical methods and data privacy compliance.

Cite This Study

Khelfaoui et al. (2025) studied this question.

synapsesocial.com/papers/68de6f3183cbc991d0a21fa5https://doi.org/10.3389/fmicb.2025.1691503
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