Smart-HEART Development of a platform for an augmented reality of the morphology and dynamics of the cardiovascular system: integration between numerical simulations, Nudging and Machine Learning techniques
Deadline: 14/03/2026
Scientific-Disciplinary Group
02/PHYS-02 - Theoretical Physics Of Fundamental Interactions, Models, Mathematical Methods And Applications
Description
A primary goal is to generate a highqualitydataset that includes both fluid fields and cardiac structure to train machine learning (ML) models. Theseinclude nudging techniques, in which patient-specific imaging data are integrated and aligned with Navier-Stokesbasedsimulations, and diffusion models, which will learn to reconstruct missing or incomplete information frompartial observations. AI applications extend beyond reconstruction, enabling the development of predictive toolscapable of adapting simulations to patient-specific conditions. Using the geometries and fluid fields generated by oursimulations as controlled "ground truth," we will develop data-driven models that incorporate patient-specificgeometries
Job posting website
Number of positions
1
Funding body
Università degli Studi di Roma Tor Vergata - Dipartimento di Fisica
View the original posting on the MUR website: Go to MUR website