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AI breast cancer survival model aims to sharpen personalized care
Key Takeaways
- University of Cincinnati researchers combined statistical survival methods with deep learning.
- The model is intended to identify more specific risk groups among breast cancer patients.
- It incorporates simulated gene-expression data for settings where genetic testing is difficult to access.
- The research describes potential clinical value and requires further validation before routine use.
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DT Editorial Team··via medicalxpress.com