Computational Platform for Non-Invasive Modelling of Aortic Parameters for Clinical Assessment and Stroke Prevention

The main objective of this project is to enhance the performance and scalability of a computational environment for assessing the risk of plaque detachment in the aortic segment, a condition that may lead to severe cardiovascular and cerebrovascular events. To achieve this, artificial intelligence techniques and computational fluid dynamics (CFD) methods will be employed to derive the clinical parameters required for improved prevention of stroke and other cardiovascular diseases.

In this way, the project enables comprehensive characterisation of the aorta and supports the non-invasive understanding, quantification, and monitoring of plaque behaviour, which is a major contributor to cardiovascular mortality worldwide. The integration of HPC resources is therefore essential to improve the performance of the computational framework, increasing both the speed and accuracy with which FlowReserve Labs can deliver clinically relevant data to physicians for the prevention of disease and adverse events.

Organisations involved: 

End-User: FlowReserve Labs S.L.

Technology Expert: Health Research Institute of Santiago de Compostela