In healthcare, there is a compelling need for integrating information from heterogeneous sources, unifying existing scattered modelling efforts, and translating the results into clinical practice. This applies in particular to paediatrics, in which therapeutic decisions have long-term consequences and where the foundation for a healthy adult life is laid.
MD-Paedigreeaims to answer these needs by (i) developing an open, large-scale repository of data and models within the established VPH infostructure and (ii) developing robust and reusable multi-scale models. In order to achieve practical impact, the consortium is clinically-led and comprises leading clinical and technological institutions and companies from Europe and the USA.
MD-Paedigreewill demonstrate the reusability and robustness of its repository and models in four highly relevant, complementary paediatric applications: cardiomyopathies, obesity-related cardiovascular disease, juvenile idiopathic arthritis, and neurological and neuromuscular diseases.
The principle goals of the project are:
Consolidate existing models and enhance them for horizontal application in various clinical scenarios with a high level of acceptance also beyond the project
Gain new insight into different disease mechanisms by vertically integrating information from a variety of sources and using latest generation models for interpretation
Propose new workflows for diagnosis and therapy in the clinical practice
Collect, integrate and share biomedical information relevant for the targeted applications using the open VPH platform
The technical excellence of the unique consortium and the strong clinical focus will allow MD-Paedigreeto validate and bring to maturity holistic, patient-specific, predictive models for paediatrics, paving the way for a more personalised, effective and safer healthcare.
This integrated project (IP) is funded by the European Union as part of the objective ICT 2011.5.2: Virtual Physiological Human
Fraunhofer IGD participates in two scenarios as described in the following sections.
Cardiovascular disease risk in obese children
The relation of abdominal adiposity to the risk of cardiovascular disease has been focus of studies in the last years. One of the goals of this project is to find out if there is a long term negative cardiovascular effect for obese children. To this end within this project the connection between abdominal fat and cardiovascular disease risk will be investigated.
The task of Fraunhofer IGD is to extract and quantify abdominal fat, both the visceral and the subcutaneous adipose tissue. Especially interesting for medical doctors is the knowledge of the amount of intrahepatic fat, which is not homogeneously spread through the organs.
Juvenile idiopathic arthritis
Here, the goal of Fraunhofer IGD’s work is the development of tools to automatically extract joint regions that are identified as relevant by clinical experts for the study. Therefore, we will build patient specific anatomical models and use these to create an “articulated atlas”. Subsequently, this atlas can be adapted to specific image data. Upon the successful detection of corresponding structures in magnetic resonance imaging and ultrasound imaging a registration can be done for further image processing. As part of this we will work on image processing algorithms for automatically detecting regions of interest and extracting biomarkers of the joints in MRI and US image data.