15/01/2013

BIOSIM participates in the European-funded Research Project MOSAIC

The Biomedical Simulations and Imaging Laboratory of the NTUA (BIOSIM-NTUA) participates in the European-funded Research Project, entitled “Models and simulation techniques for discovering diabetes influence factors (MOSAIC)”, which is carried out within the framework of the FP7-ICT-2011.5.2. The project will last from January 2013 to April 2016.

 

Type 2 diabetes (T2DM), sometimes called non-insulin dependent diabetes or adult-onset diabetes, is the most common form of diabetes and accounts for at least 90% of all cases of diabetes. WHO estimates that by 2030 there will be about 550 million people suffering this disease. This figure demonstrates the extreme importance of identifying people at risk of developing T2DM, and suggests that the current diagnostic methods are missing the opportunity to identify early symptoms. This leads to a late identification and treatment of patients and consequent development of complications, which could have been avoided with an earlier intervention.

 

The MOSAIC project aims at the development and improvement of existing empirical models to perform a better diagnosis, prognosis and prediction of complications in people at risk of suffering from T2DM or already diagnosed. The expertise of the MOSAIC consortium in modeling the human metabolic response in diabetes will be enhanced in the project with the incorporation of elements that provide information related to environmental and clinical factors, such as socio-economic aspects, geographic localization, cultural background and nutrition. Multiple data bases cutting across geographic boundaries are available to the MOSAIC consortium as a result of the activities of previous studies and projects of the members.

 

MOSAIC will integrate these models into an already existing platform for diabetes management and remote monitoring, NOMHAD Chronic, to facilitate the interpretation and visualization of the data and to enable a comprehensive understanding of the information by the health care professionals. Within the framework of the MOSAIC project advanced tools will be developed with the ability to be used in the next generation of clinical decision support applications enhancing the current systems, which are usually based in static rules rather than in intelligent data mining and modeling and, therefore, do not have the capability to adapt to the specific conditions and risks of patients following real life challenges and changes.

 

Related link: http://www.mosaicproject.eu/