FP7 eHealth Projects

ACTION-Grid is a Specific International Cooperation Project on healthcare information systems based on Grid capabilities and Biomedical Informatics (BMI) between Latin America, the Western Balkans and the European Union (EU). Members of the consortium have published pioneering scientific papers in Grid and BMI. They participated in the BIOINFOMED and SYMBIOMATICS studies that contributed decisively to the last two FPs of the EC.

Serious adverse effects resulting from the treatment with thalidomide prompted modern drug legislation more than 40 years ago. Post-marketing spontaneous reporting systems for suspected adverse drug reactions (ADRs) have been a cornerstone to detect safety signals in pharmacovigilance. It has become evident that adverse effects of drugs may be detected too late, when millions of persons have already been exposed.

ARTreat targets at providing a patient-specific computational model of the cardiovascular system, used to improve the quality of prediction for the atherosclerosis progression and propagation into life-threatening events that need to be treated accordingly.

Intensive Care patients can experience Adverse Events associated with sudden episodes of low blood pressure. These Adverse Events may impact all of the main organs resulting in longer lengths of stay, increased care costs and reducing quality of outcomes. Existing technologies enable to clinicians to know when these events have occurred and treat the effects.

The overall concept of the CD-MEDICS IP is to develop a technology platform for point-of-care diagnostics, capable of simultaneous genomic and proteomic detection, with embedded communication abilities for direct interfacing with hospital information systems. This will be achieved by exploiting breakthroughs at the confluences of bio-, micro- and nano- technologies to create a low-cost non-invasive intelligent diagnosis system.

Appropriate delivery of quality healthcare requires constant monitoring of the patient during follow up, particularly in the presence of chronic diseases. This approach can be further improved if leading edge tools supporting diagnosis, as well as prediction, identification and monitoring of adverse events are available. COMOESTAS aims to develop an innovative ICT system that allows patients with a chronic condition to receive continuous and personalized treatment.

In about half a century of antibiotic use, unexpected new challenges have come to light: fast emergence of resistances among pathogens, misuse and overuse of antibiotics; direct and indirect related costs. Antimicrobial resistance results in escalating healthcare costs, increased morbidity and mortality and the emergence or reemergence of potentially untreatable pathogens.

The DIAdvisor is a large scale- integrating project (IP) aiming at development of a prediction based tool which uses past and easily available information to optimise the therapy of type I and developed type II diabetes.

The project intends to develop an intelligent alarming system, transportable by the patient, measuring the brain dynamical activity, capable of predicting the seizures, allowing the patient to assess the risk of his actual situation and improving his safety The system is based on multi-signal information (EEG, ECG and others), intelligent data processing and wireless communications.

Cardiovascular disease (CVD) has a significant impact on the European society in terms of mortality, morbidity and allied healthcare costs. The opportunity of multi-scale modelling spanning, sub-cellular level up to whole heart is to improve CVD outcomes by providing a consistent, biophysically-based framework for the integration of the huge amount of fragmented and inhomogeneous data currently available.