Multimodal Machine Learning Model Effective at Predicting Response to CDK4/6 Inhibitors in HR-Positive, HER2-Negative Breast Cancer Patients
- The evolving role of clinical-genomic integration in metastatic breast cancer management
- Machine learning-driven risk stratification: uncovering patterns in patient outcomes
- Understanding how genomic and clinical variables together enhance predictive accuracy
- Implications for treatment optimization and patient monitoring