… Accessing clinical data The problem of sharing clinical data presents a major hurdle if patient
specific … into clinical practice, and for the facilitation of research using that data. Even the …

… the specificities of an e-infrastructure for health, such as the deployment of grid nodes in
clinical centres and in healthcare administrations, the connection of individual physicians to the …

… All data are pseudonymized or anonymized before they are uploaded to the so-called …
Environment (IMENSE), the integrated e-science platform of the project. Patient imaging data are …

… workflow for clinical data integration through histopathological image data repositories (44–…
cancer patient’s underlying cellular morphology. Once the personalized multi-scale model …

… platform for full molecular data integration that uses relational … establishment of local and
central e-infrastructure platforms. … of integrating multimodal and multiscale data holistically to …

… next generation infrastructure is called e-infrastructure. At the time … the development and
integration of multi-scale models, which … Patient specific whole cerebral blood flow simulation: A …

… meaningfully handle a huge amount of data and metadata. With Big Data, more computational
… A summary of the transversal e-infrastructure ecosystem serving life sciences research in …

… These projects can also be associated with a specific scientific … (Einfrastructure shared
between Europe and Latin America) [44, 39]. Most of these project start from the need of a specific …

… the specific needs of an e-infrastructure for health, for instance the deployment of grid nodes
in clinical centres and in healthcare administrations, the connection of individual … need huge …

… More recently, increasing complexity of e-Science applications that embrace multiple physical
models (ie multi-physics) and consider a larger range of scales (ie multi-scale) is creating …