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This review discusses the integration of artificial intelligence and multi-omics approaches in breast cancer research to enhance diagnosis, prognostication, and precision oncology. It highlights advancements in multi-omics profiling that improve subtype stratification and biomarker identification, while also addressing challenges in translating these findings into clinical practice. The authors propose future directions for overcoming barriers to clinical implementation, including standardized preprocessing
- Author
- jwpark050727
- Language
- EN