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Hao-Hong Zhang

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Review Open access Sep 2026

Foundation Models for Microbiome Research: From Sequence Semantics to Community Dynamics and Multimodal World Models

This Review presents microbiome foundation models as a hierarchy spanning biological scales, and proposes a transition from static representation learning toward intervention‐aware microbiome world models capable of simulation, digital twinning, and generative microbiome engineering.

Hao-Hong Zhang, Zi-Xin Kang, K. Ning · 0 citations
Open access Jul 2026

MGM2 as a Unified Foundation Model for Microbiome World Exploration

MGM2 provides a sequence-aware and interpretable representation layer for microbiome classification, paired-community prediction, forecasting and feature discovery and a 4,096-feature sparse autoencoder atlas resolves taxonomic, abundance, ecological and technical signals.

Haohong Zhang, Yuli Zhang, Yu Qi et al. · 0 citations

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