STROBE-causal machine learning for the human microbiome: systematic review on methodological innovations and validation frameworks

The reproducibility crisis in causal microbiome research necessitates robust validation frameworks. Current studies often face inconsistent validation methods, limited interpretability, and a lack of standardized reporting, creating a gap in reliable causal inference. This systematic review evaluate...

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Detalhes bibliográficos

Principais autores:	Issam Khelfaoui, Wenxin Wang, Akram Ismael Shehata, Hicham Meskher, Mohammed F. El Basuini, Abdalla M. A. Mohamed, Mohamed F. Abouelenein, Houssem Eddine Degha, Mayada Alhoshy, Islam I. Teiba, Omnia Mahmoud, Seedahmed S. Mahmoud
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-03-01
Colecção:	Frontiers in Microbiology
Assuntos:	benchmarking causal machine learning human microbiome microbiome-host interactions reporting guidelines reproducibility
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmicb.2026.1705116/full
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