Scientific publication

AI in microbiome-related healthcare

Niklas Probul, Zihua Huang, Christina Caroline Saak, Jan Baumbach & Markus List · Microbial Biotechnology · November 2024

This review explores the rapidly evolving role of artificial intelligence in microbiome-related healthcare and highlights how AI technologies are transforming microbiome data analysis, diagnostics and personalized medicine approaches.

The publication discusses current applications of AI in microbiome research, including disease prediction, microbiome-based diagnostics, biomarker discovery and precision healthcare, while also addressing major challenges such as data quality, explainability, model generalizability and patient privacy.

The authors further examine future opportunities arising from increasingly complex microbiome datasets, multi-omics integration and privacy-preserving AI technologies for biomedical research.

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Why this matters for Microb-AI-ome

This publication directly reflects several core scientific and technological objectives of Microb-AI-ome. The review highlights how AI can support microbiome-based healthcare applications while emphasizing the importance of trustworthy, explainable and privacy-preserving approaches for sensitive biomedical data. The discussed challenges and opportunities strongly align with Microb-AI-ome’s work on federated AI infrastructures and microbiome-driven colorectal cancer screening.