AI-empowered human microbiome research
Tian Zhou, Fangqing Zhao · 2025
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Description
Tian Zhou and Fangqing Zhao review, in a 2025 article, how AI is reshaping human microbiome research. High-throughput profiling now produces enormous data sets on microbes. Their sheer size strains older statistics. The authors survey the AI toolkit applied so far, from clustering and neural networks to large language models. The survey covers how each method family is used in practice.
Across the analysis pipeline, these methods merge data from many omic layers. They clean and compress it, pull out meaningful features, and classify samples. That lets researchers read patterns at several biological scales at once. The review follows the payoff into community dynamics and host and microbe links. It also covers functional genomics. Uses in translation include disease tests, drug development, and precision engineering of microbe communities. The authors weigh current limits candidly. They also chart how AI could speed tailored medicine grounded in the microbiome.
Catalog record
| CREATOR | Tian Zhou, Fangqing Zhao |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 63 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |