Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.
- 1 opens in JClub
- Open access
Multi-omics and AI integration reveal complex cancer microbiome patterns, advancing understanding and potential clinical applications.
- Why it matters: Understanding the cancer microbiome is crucial for developing targeted therapies and improving patient outcomes, but current knowledge is limited by data complexity and analysis challenges.
- What they did: The authors review existing and emerging cancer microbiome datasets, discuss AI model development and validation, and offer strategies to enhance the reliability and biological relevance of discoveries.
- The result: This work highlights opportunities to translate microbiome insights into clinical practice, addressing key challenges and proposing approaches to bridge research and implementation gaps.