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Updated: Apr 13, 2026

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Artificial intelligence for microbiology and microbiome research.

Xu-Wen Wang1, Tong Wang2, Yang-Yu Liu1

  • 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing microbiology and microbiome research. Machine learning and deep learning methods are driving breakthroughs in understanding microbial life and its impact on health and the environment.

Keywords:
artificial intelligencedeep learninglanguage modelsmachine learningmicrobiologymicrobiome

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Area of Science:

  • Microbiology
  • Microbiome Research
  • Bioinformatics
  • Computational Biology

Background:

  • Artificial intelligence (AI) is increasingly impacting scientific research.
  • Microbiology and microbiome studies are benefiting from machine learning (ML) and deep learning (DL) applications.
  • Understanding microbial communities is crucial for various biological and medical applications.

Purpose of the Study:

  • To provide a comprehensive review of AI-driven approaches in microbiology and microbiome research.
  • To guide researchers in selecting appropriate AI techniques (ML vs. DL) for their specific goals.
  • To highlight the technical advancements and biological insights gained through AI applications.

Main Methods:

  • Review of foundational AI techniques relevant to biological data.
  • Categorization of AI applications across diverse microbiology and microbiome research areas.
  • Discussion of challenges and recent breakthroughs in the field.

Main Results:

  • AI offers powerful tools for taxonomic profiling, functional annotation, and prediction of microbial roles.
  • AI facilitates the study of microbe-X interactions, microbial ecology, and metabolic modeling.
  • AI applications extend to precision nutrition, clinical microbiology, and the development of therapeutics.

Conclusions:

  • AI is a transformative force in microbiology and microbiome research, enabling novel methodologies.
  • AI enhances our understanding of microbial life's impact on planetary and human health.
  • The integration of AI promises innovative solutions and deeper biological insights.