One of the greatest challenges in biomedicine is to get a unified view of observations made
from the molecular up to the organism scale. Towards this goal, multiscale models have …

Abstract In today's Big Data era, computing tools and techniques help revolutionize
immunological research in a meaningful way that is also shifting paradigm from top-down or …

Background Computer simulations are of increasing importance in modeling biological
phenomena. Their purpose is to predict behavior and guide future experiments. The aim of …

The immune system is a dynamic and multi-level biological system that protects host
organisms against invading pathogens and tumor development, and plays an active role in …

The immune system is inordinately complex with many interacting components determining
overall outcomes. Mathematical and computational modelling provides a useful way in …

This is an exciting time for immunology because the future promises to be replete with
exciting new discoveries that can be translated to improve health and treat disease in novel …

Inflammation is a normal, robust physiological process. It can also be viewed as a complex
system that senses and attempts to resolve homeostatic perturbations initiated from within …

Background The complexity and multiscale nature of the mammalian immune response
provides an excellent test bed for the potential of mathematical modeling and simulation to …

The application of in silico modelling is beginning to emerge as a key methodology to
advance our understanding of mechanisms of disease pathophysiology and related drug …

It is coming nowadays more clear that in order to obtain a unified description of the different
mechanisms governing the behavior and causality relations among the various parts of a …