The Center for Computational Imaging and Simulation Technologies in Biomedicine at The University of Sheffield (http://sheffield.ac.uk/), is leading the “Virtual Physiological Human: DementiA Research Enabled by IT” (VPH-DARE@IT) project, which aims to provide a systematic, multifactorial and multiscale modelling approach to understanding dementia onset and progression and enable more objective, earlier, predictive and individualised diagnoses and prognoses of dementias to cope with the challenge of an ageing European society. See http://www.vph-dare.eu/ for more details.

The project will use VPH-SHARE (http://vph-share.eu/) infrastructure and the GIMIAS software along with Taverna Workbench and Taverna Server technology for the execution and composition of medical simulation workflows. These workflows will be focused on the analysis of medical data from thousands of individuals and populations; as well as genetic, biochemical and metabolic pathway models. The results of the analysis aim to support highly innovative clinical decision systems for fighting the colossal health and societal burden resulting from dementias.