Artificial intelligence in human microbiome research: from data integration to explainable translation
This narrative review synthesizes literature from 2015 to 2025 without a formal systematic methodology and concludes with three priority areas for AI-microbiome translation: improved interpretability, longitudinal modeling, and clinical integration.
Ikram Khan, Imran Khan, Uzma Noor et al.
· Archives of Microbiology · 0 citations