AI in microbiome research: Where have we been, where are we going?

Georg K Gerber ¹

⁰Harvard Medical School, Boston, MA, USA; Division of Computational Pathology, Brigham and Women's Hospital, Boston, MA, USA; Massachusetts Host-Microbiome Center, Boston, MA, USA; Harvard-MIT Health Sciences & Technology, Cambridge, MA, USA.

Cell Host & Microbe +

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August 15, 2024

View abstract on PubMed

Summary

Artificial intelligence (AI) is rapidly evolving and poised to significantly impact microbiome research. This commentary explores AI's development and its future influence on understanding microbial communities.

Area Of Science

Computer Science
Microbiology
Bioinformatics

Background

Artificial intelligence (AI) is a rapidly advancing field focused on creating intelligent machines.
AI development is accelerating, with significant implications across scientific disciplines.
The microbiome, a complex ecosystem of microorganisms, is a key area for potential AI application.

Purpose Of The Study

To provide a perspective on the evolution of artificial intelligence.
To discuss the anticipated impact of AI on microbiome research over the next ten years.

Main Methods

Commentary article format.
Expert perspective on AI trends.
Speculative analysis of AI's future role in microbiome science.

Main Results

AI's ongoing revolution presents new opportunities for scientific discovery.
Anticipated integration of AI tools in microbiome data analysis and interpretation.
Potential for AI to uncover novel insights into microbiome functions and interactions.

Conclusions

AI is expected to transform microbiome research methodologies.
Future microbiome studies will likely leverage advanced AI capabilities.
AI holds the potential to deepen our understanding of host-microbe interactions and health outcomes.