Abstract Systems medicine is a paradigm for translating in silico methods developed for
modelling biological systems into the field of medicine. Such approaches rely on the …

Heart disease and cancer are the two biggest diseases, and obviously the focus of intense
work within the biomedical community. One aspect of this work is the computer simulation of …

In silico medicine describes the application of computational modelling and simulation
(CM&S) to the study, diagnosis, treatment or prevention of a disease. Tremendous research …

We propose a comprehensive information processing, knowledge discovery and simulation
platform for Big Data Healthcare. In addition, we present a related, well-defined workflow …

Clinical information systems (CIS) significantly influence the quality and efficiency of health
care delivery. However, CIS are complex environments that integrate information …

This paper investigates an Open Framework for Medical Simulation (named SOFA for
Simulation Open Framework Architecture), and proposes ideas for structuring and …

The idea that the purely phenomenological knowledge that we can extract by analyzing
large amounts of data can be useful in healthcare seems to contradict the desire of VPH …

Efficient collaboration and data sharing are essential prerequisites for improving efficiency,
safety and outcomes in medicine. Current separation of clinical research and care creates a …

Healthcare is characterized by close collaboration and information sharing among many
distinct actors, who co-operate for the patient care in different temporal moments, also at a …