Patient-specific computational modeling

Data-driven cardiovascular assist devices

As cardiovascular diseases continue to be the leading cause of mortality worldwide, computational and hybrid testing of treatment strategies such as heart pumps present a promising avenue for saving lives. However, these models are most often generic and lack patient-specific properties. This research aims at designing and optimizing an algorithm for tuning the parameters of a cardiovascular model to generate patient-specific simulations. The goal is to enhance the accuracy and performance of cardiovascular models, ultimately facilitating the creation of patient-specific digital twins.

Funded by

Digital Futures

Publications