Model predictive fuzzy control in chemotherapy optimization

Abstract

Nowadays clinical therapies in chemotherapy sessions are generalized for patients, therefore we are working to provide a personalized drug plan to help reduce the drug dosage, causing the reduction of side effects and costs. Also, one benefit of this method is to prevent drug resistance. In order to improve the efficiency of the in vivo experiments, mathematical optimization is needed. We implemented a chemotherapeutical drug dosing algorithm based on a fuzzy logic search that is providing an initial value for a model predictive control system that calculates the minimum dose using a linear quadratic fitness function. This results in a suboptimal drug dose therapy plan. These results seem satisfactory in order to replace the traditional chemotherapy plans in the nearby future.