Article

Evaluating Few-Shot Meta-Learning using STUNT for Microbiome-Based Disease Classification

2026-03-03

Abstract excerpt

The human gut microbiome is increasingly explored as a diagnostic indicator for disease, yet machine learning models trained on metagenomic data are often constrained by limited sample sizes and poor cross-cohort generalizability. Meta-learning, a machine learning paradigm that optimizes models for rapid adaptation to new tasks with limited examples, offers a promising strategy to address this by leveraging the po...

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Literature Corpus work: dfba8091-d662-5b4d-b7ed-534c43478b12
DOI: 10.64898/2026.03.01.708821

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