We construct a population dynamics model of the competition among immune system cells
and generic tumor cells. Then, we apply the theory of optimal control to find the optimal …

Cancer immunotherapy aims at stimulating the immune system to react against cancer
stealth capabilities. It consists of repeatedly injecting small doses of a tumor-associated …

Cancer immunotherapy aims at eliciting an immune system response against the tumor.
However, it is often characterized by toxic side-effects. Limiting the tumor growth and …

We investigate a mathematical model for the dynamics between tumor cells, immune-
effector cells, and the cytokine interleukin-2 (IL-2). In order to better determine under what …

We investigate mathematical models for the dynamics between tumor cells, immune-effector
cells, and cytokine interleukin-2 (IL-2). To better determine under what circumstances the …

Understanding the dynamics of human hosts and tumors is of critical importance. A
mathematical model was developed that explored the immune response to tumors that was …

Clinical immunologists, among other problems, routinely face a question: what is the best
time and dose for a certain therapeutic agent to be administered to the patient in order to …

We investigate a mathematical model depicting the nonlinear dynamics of immunogenic
tumors as envisioned by Kuznetsov et al.[1]. To understand the dynamics under what …

Immunotherapy has become a rapidly developing approach in the treatment of cancer.
Cancer immunotherapy aims at promoting the immune system response to react against the …

We investigate a mathematical population model of tumor-immune interactions. The
populations involved are tumor cells, specific and non-specific immune cells, and …