Predicting cardiovascular events and risk of disease progression for peripheral arterial disease

Developing AI-based methods for multi-modal patient-specific prediction of PAD progression








About project

Although vascular diseases are a powerful predictor of cardiovascular mortality, they are typically underrecognized and undertreated. This is particularly true of peripheral arterial disease (PAD) which is associated with a number of limb-related complications, such as lower extremity amputation and acute limb ischemia, and which is in addition,  a predictor of future myocardial infarction and stroke.


To enable personalized vascular disease management, the aim of the project is to develop methods for patient-specific AI-based prediction of PAD progression and to determine the risk of cardiovascular events using multi-modal patient data, including CTA, duplex ultrasound, and digital subtraction angiography (DSA), clinical and multi-omics data.

This project is part of the Horizon Europe-funded VASCUL-AID consortium.


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