This paper presents a review of the ways in which optimal control theory interacts with
cancer chemotherapy. There are three broad areas of investigation. One involves …

Optimal control theory is branch of mathematics that aims to optimize a solution to a
dynamical system. While the concept of using optimal control theory to improve treatment …

We present a competition model of cancer tumor growth that includes both the immune
system response and drug therapy. This is a four-population model that includes tumor cells …

We present a phase-space analysis of a mathematical model of tumor growth with an
immune response and chemotherapy. We prove that all orbits are bounded and must …

We develop reinforcement learning trials for discovering individualized treatment regimens
for life‐threatening diseases such as cancer. A temporal‐difference learning method called …

In metastatic castrate resistant prostate cancer (mCRPC), abiraterone is conventionally
administered continuously at maximal tolerated dose until treatment failure. The majority of …

This optimal control model of cancer chemotherapy constructs drug schedules that most
effectively reduce the size of a tumour after a fixed period of treatment has elapsed. A …

This monograph is a study of optimal control applied to cancer chemotherapy, the treatment
of cancer using drugs that kill cancer cells. The aim is to determine whether current methods …

Cancer is a fatal disease for a very long time. It has its own history. Now it has become one
of the major reasons for death due to its various types. Researchers, scientists and doctors …

We propose a mathematical model for the growth of cell-cycle-specific dose limiting bone
marrow. In an attempt to determine effective methods of treatment without overdestruction of …