Abstract Systems biology is today such a widespread discipline that it becomes difficult to
propose a clear definition of what it really is. For some, it remains restricted to the genomic …

We expect that multiscale simulations will be one of the main high performance computing
workloads in the exascale era. We propose multiscale computing patterns as a generic …

Mathematical modelling in glucose metabolism has proven very useful for different reasons.
Several models have allowed deeper understanding of the relevant physiological and …

Abstract The In-Stent Restenosis 2D model is a full y coupled multiscale simulation of post-
stenting tissue growth, in which the most costly submodel is the blood flow simulation. This …

Computational Immunology: Applications focuses on different mathematical models,
statistical tools, techniques, and computational modelling that helps in understanding …

Multiscale computing involves the modelling, characterisation and simulation of complex
phenomena on several interacting space and/or time scales. We simulate multiscale models …

Identification of key genes for a given physiological or pathological process is an essential
but still very challenging task for the entire biomedical research community. Statistics-based …

We are developing infrastructure to support researchers in mapping data related to the
peripheral nervous system and other physiological systems, with an emphasis on their …