AI breast cancer survival model could improve accuracy and personalize care

New University of Cincinnati Cancer Center research published in the Journal of Statistical Theory and Practice describes the potential for a more robust and accurate breast cancer survival model that combines statistical methods with a deep learning framework. The goal is to give physicians a better tool to make personalized care decisions for each patient.

Read it at Medical Xpress ↗

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