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CDT-net: The Cardiovascular Digital Twin Network

CORDIS · observation · Publication date unknown

support human reasoning and decision making: we can now use in-silico (i.e. in the computer) models to probe what cannot be measured and simulate response to therapy before it is given. Additionally, artificial intelligence allows learning and extracting hidden patterns from large repositories of clinical data. Combining these two capabilities is the pathway towards precision cardiology, the vision of the Digital Twin in cardiovascular medicine wherein the computational avatar of each patient informs the identification and stratification of early risks, increases the accuracy of diagnosis, and steers the design of the optimal therapeutic strategy. The complexity of our healthcare systems, the intricate mechanisms of cardiac pathophysiology, the societal, ethical, and regulatory barriers to the adoption of new technologies, and the intrinsic difficulties in developing trustworthy computational solutions, are some of the challenges that need to be tackled to fulfil this vision. CDTnet will address these challenges by training ten innovation leaders to develop practical and effective so

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recordType

award

status

SIGNED

region

EU

value

4713829.92

unit

EUR