Cardiovascular disease (CVD) is a highly relevant and epidemiologically significant contributor to loss of quality and quantity of life within Europe with considerable impact on its economy. It causes over 1.9 million deaths in the EU every year with a total estimated cost of EUR 169 billion.
The diversity and quantity of available data in current clinical workflow present a significant opportunity to improve clinical care of CVD. At the same time, the clinical practice of using population-based metrics derived from disparate diagnostic tools, imaging devices and physiological measurement systems can indicate contradictory treatments plans due to inter-individual variability in pathophysiology. The euHeart project is working on the In-silico simulation of the patient's heart to address these issues and to provide the best assistive decision-making tool.