In this paper, we propose a mathematical model on the oncolytic virotherapy incorporating
virus-specific cytotoxic T lymphocyte (CTL) response, which contribute to killing infected …

Cancer virotherapy is studied in mathematical modeling to improve tumor elimination. Since
various oncolytic viruses are used for cancer therapy and virus selection is an important …

The complexity of oncolytic virotherapy arises from many factors. In this study, we
incorporate environmental noise and stochastic effects to our basic deterministic model and …

Oncolytic virotherapy is emerging as a promising new method for cancer treatment. In the
present study, we propose and analyze a mathematical model for treatment of cancer by …

Ongoing research on cancer has indicated that viruses which specifically infect and destroy
tumor cells could be used as a therapeutic agent to arrest tumors. Some of these oncolytic …

In this research, we propose deterministic and stochastic models to explain the complexity of
interactions in cancer virotherapy and outcomes of current preclinical and clinical trials of …

One of the most promising strategies to treat cancer is attacking it with viruses. Oncolytic
viruses can kill tumor cells specifically or induce anticancer immune response. A multiscale …

Virotherapy is an effective strategy in cancer treatment. It eliminates tumor cells without
harming the healthy cells. In this article, a deterministic mathematical model to understand …

Oncolytic viruses are viruses that specifically infect cancer cells and kill them, while leaving
healthy cells largely intact. Their ability to spread through the tumor makes them an attractive …

In the present paper, we address by means of mathematical modeling the following main
question: How can oncolytic virus infection of some normal cells in the vicinity of tumor cells …