Ikram Khan

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.

Gut Microbiome and Fecal Metabolome Analysis Reveal Potential Non-Invasive Biomarkers For Acute Myocardial Infarction.

Microbiota-metabolite dysregulation in depressive and non-depressive Parkinson’s disease: mechanistic and therapeutic implications

Current evidence supports the gut microbiota as a convergent biological interface linking neurodegeneration and depression in PD, with implications for biomarker discovery and microbiota-targeted therapeutic strategies.