Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting
{{output}}
We develop a family of mathematical models to predict patient-specific response to neoadjuvant therapy in breast cancer. The models capture key features of tumor growth, therapeutic response, and tissue mechanics that are informed by diffusion weighted and dyn... ...