Mathematical modelling approaches have become increasingly abundant in cancer
research. The complexity of cancer is well suited to quantitative approaches as it provides …

Multiscale systems biology and systems pharmacology are powerful methodologies that are
playing increasingly important roles in understanding the fundamental mechanisms of …

The advances in genetics and biochemistry that have taken place over the last 10 years led
to significant advances in experimental and clinical immunology. In turn, this has led to the …

The anti-tumor activity of the immune system is increasingly recognized as critical for the
mounting of a prolonged and effective response to cancer growth and invasion, and for …

There have been many techniques developed in recent years to in silico model a variety of
cancer behaviors. Agent-based modeling is a specific discrete-based hybrid modeling …

Introduction: A defining hallmark of cancer is aberrant cell proliferation. Efforts to understand
the generative properties of cancer cells span all biological scales: from genetic deviations …

Mathematical and computational models are increasingly used to help interpret biomedical
data produced by high-throughput genomics and proteomics projects. The application of …

Several components that interact with each other to evolve a complex, and, in some cases,
unexpected behavior, represents one of the main and fascinating features of the mammalian …

Background SARS-CoV-2 is a severe respiratory infection that infects humans. Its outburst
entitled it as a pandemic emergence. To get a grip on this outbreak, specific preventive and …

Cancer immunotherapy is a promising therapy to treat cancer patients with minimal toxicity,
but only a small fraction of patients responded to it as a monotherapy. In this study, a …