Over the last few decades, there have been significant developments in theoretical,
experimental, and clinical approaches to understand the dynamics of cancer cells and their …

Mathematical models of tumor–immune interactions provide an analytical framework in
which to address specific questions regarding tumor–immune dynamics and tumor treatment …

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 …

Immunotherapies are important methods for controlling and curing malignant tumors. Based
on recent observations that many tumors have been immuno‐selected to evade recognition …

Mathematical models of interactions between tumor cells, CD4+ T cells, cytokines, and host
cells are proposed to investigate the role of CD4+ on tumor regression. Our results suggest …

Using mathematical models to simulate dynamic biological processes has a long history.
Over the past couple of decades or so, quantitative approaches have also made their way …

We develop and analyze a mathematical model, in the form of a system of ordinary
differential equations (ODEs), governing cancer growth on a cell population level with …

Modern medical studies show that chemotherapy can help most cancer patients, especially
for those diagnosed early, to stabilize their disease conditions from months to years, which …

Despite significant advances in oncological research, cancer nowadays remains one of the
main causes of mortality and morbidity worldwide. New treatment techniques, as a rule …

Modeling the effect of therapeutic drugs on tumor dynamics is a fundamental step that leads
to the optimization of cancer therapy using mathematical tools. We discuss three tumor …