A. Gonzalo

This paper introduces a multi-fidelity computational strategy to efficiently simulate blood coagulation under flow by reducing complex PDE systems to ODEs and lower-order PDEs for statistical moments of residence time.

This study examines how variations in pulmonary vein flow split affect left atrial flow and thrombosis risk using patient-specific simulations.

This study shows that non-Newtonian blood rheology, influenced by hematocrit and rouleaux formation, increases left atrial stasis in patients with atrial fibrillation.

This study uses patient-specific computational fluid dynamics to assess left atrial appendage thrombogenesis risk in atrial fibrillation patients.