Integrating Multi-Omics and Artificial Intelligence for Personalized Breast Cancer Management: A Guide to Clinicians - PubMed
3 hours ago
- #Artificial Intelligence
- #Breast Cancer
- #Personalized Medicine
- Breast cancer requires personalized clinical strategies due to its diverse nature and global impact.
- Multi-omics technologies, like genomics and proteomics, combined with AI enhance early detection and risk assessment.
- AI analyzes complex multi-omics data for precise risk stratification, diagnosis, and customized treatment plans.
- Applications include improving mammographic analysis, predicting therapy outcomes, and discovering new biomarkers.
- Challenges include data standardization, model generalizability, and AI interpretability for clinical integration.
- This review guides clinicians on integrating multi-omics and AI to improve prognostic accuracy and precision oncology.