Mathematical modeling of multi stage breast cancer treatment using hybrid optimization and decision-making frame works

Abstract

The process of breast cancer treatment normally has several clinical phases like diagnosis,
treatment planning, delivery, and post treatment monitoring. The decision of every stage involves
complex decisions that entail chemotherapy, radiotherapy, surgery, and targeted therapies. But because
of the heterogeneity of patients, the dynamics of tumor progression, treatment toxicity, and limited
resources, treatment planning is usually problematic.