Integrating Multi-Omics and Artificial Intelligence for Personalized Breast Cancer Management: A Guide to Clinicians
Artificial intelligence and genetic profiling together are moving closer to personalized breast cancer care, though challenges in translating this to clinics remain.
This clinician-oriented review synthesizes advances in multi-omics profiling and AI for personalized breast cancer care, covering risk stratification, early detection, and treatment response prediction. It identifies barriers including data standardization and model interpretability that limit clinical integration.
What the study was
- Study design
- Narrative review
- Population
- Breast cancer patients
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- Cancer Letters
Why it surfaced
Clinically relevant review bridging multi-omics and AI for breast cancer. High utility but incremental vs existing literature.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.