In this work, we present the results of our study over the expected lifetime of the patients
diagnosed with relapsed squamous cell lung cancer, which is a subtype of non-small cell …

We developed a computational platform including machine learning and a mechanistic
mathematical model to find the optimal protocol for administration of platinum-doublet …

Dosage and frequency of treatment schedules are important for successful chemotherapy.
However, in this work we argue that cell-kill response and tumoral growth should not be …

Cancer tumor growth can be studied using mathematical models. In this work, we will focus
on the model proposed by P. Hahnfeldt et al. for the growth of some cancer tumors and on its …

Cells in all tissues of the body are constantly growing and dividinginto new cells. Abnormal
proliferation of tissues outside the body leads tocancer. In all tissues of the body, a type of …

A mathematical model that describes the effects of cell-cycle-specific drugs on cancer and
normal tissue is developed. The model takes into account the proliferating cells, which are …

Most anti-cancer drugs in use today exert their effects by inducing a programmed cell death
mechanism. This process, termed apoptosis, is accompanied by degradation of the DNA …

In this paper, we discuss the effect of optimal chemotherapy doses on solid tumor during
treatment and cancer recurrence after the end of treatment. First, an optimal control problem …

In order to assure hygiene safety for patients, optimal use of drugs is necessary for
controlling the number of clinically observed tumor cells. Based on a mathematical model of …

The development of more accurate cancer mathematical models leads to present more
realistic treatment protocols, especially in model-based treatment protocol design. Hence, a …