A temporal-aware machine learning framework enables microbial community dynamics prediction with personalized precision.

A similar trend was observed in MicroProphet's predictions, though it did not reach statistical significance ( p = 0.14, Fig. 2 c), suggesting that while the model captures broad ecological patterns, its sensitivity to subtle stability signals may be limited.

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