Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …

The effective treatment of cancer, resulting in long-term remission, is not yet seen in the
majority of patients. Cancer is a complex set of diseases that can occur in a variety of …

At the dawn of the era of personalized, systems-driven medicine, computational or in silico
modeling and the simulation of disease processes is becoming increasingly important for …

Background Improving our understanding of cancer and other complex diseases requires
integrating diverse data sets and algorithms. Intertwining in vivo and in vitro data and in …

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 …

Cancer is a complex disease that involves multiple types of biological interactions across
diverse physical, temporal, and biological scales. This complexity presents substantial …

The transformation of normal cells into cancer cells and maintenance of the malignant state
and phenotypes are associated with genetic and epigenetic deregulations, altered cellular …

This paper outlines the major components and function of the technologically integrated
oncosimulator developed primarily within the Advancing Clinico Genomic Trials on Cancer …

Cancers present with high variability across patients and tumors; thus, cancer care, in terms
of disease prevention, detection, and control, can highly benefit from a personalized …

BACKGROUND: Cancer research has undergone radical changes in the past few years.
Producing information both at the basic and clinical levels is no longer the issue. Rather …