Anagrafe della ricerca

The ASSOCIATE project will integrate demographic information, clinical and imaging parameters, biomarkers data, biomechanical modeling and morphologic aTAA shape features to build robust predictive models. Leveraging artificial intelligence methods, we aim at (i) predicting the risk of adverse events like rupture and dissection and (ii) estimating the aTAA growth trajectory. ASSOCIATE is conducted in partnership between Politecnico di Torino, University of Palermo and University of Torino. The participants ensure the collection of heterogeneous medical data from several aTAA cases giving rise to an unprecedented repository (approximately 600+ aTAA cases). This project will generate new knowledge on the mechanistic understanding of aTAAs, at the same time laying the foundations for a “digital patient” technology by which physicians will reap the benefits of a novel paradigm of predictive and personalized medicine based on multidisciplinary data and artificial intelligence. The outcome of this project will unlock unprecedented levels of accuracy in identifying high-risk or high-cost patients, facilitating a more effective and efficient care.