Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.

Multi-omics and AI technologies can systematically uncover complex cancer microbiome patterns and associations, advancing understanding and potential clinical applications.

• Why it matters: Understanding the cancer microbiome is limited by the complexity of data and the challenge of translating research findings into clinical practice, creating a need for reliable, biologically relevant models.
• What they did: The review discusses existing and emerging cancer microbiome data, the development and validation of AI models, and offers practical suggestions to enhance their reliability and biological relevance.
• The result: This work highlights opportunities and challenges in translating microbiome discoveries into clinical practice, aiming to bridge the gap between research models and real-world applications.