L. Dede'

A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data

This study combines cardiac magnetic resonance and patient-specific computational fluid dynamics to improve stroke risk assessment by showing that normalizing hemodynamic features with stroke volume, rather than ejection fraction, better differentiates stroke from control patients.

Modeling the effect of COVID-19 disease on the cardiac function: a computational study

This paper uses computational models to study how COVID-19 affects cardiac function, finding that it worsens outcomes like cardiac output and ejection fraction, especially in patients with pre-existing cardiac impairments.