GPU accelerated digital twins of the human heart open new routes for cardiovascular research

Viola F., Del Corso G., De Paulis R., Verzicco R.

Digital twin  Cardiology  Applied mathematics  Mathematical modeling 

The recruitment of patients for rare or complex cardiovascular diseases is a bottleneck for clinical trials and digital twins of the human heart have recently been proposed as a viable alternative. In this paper we present an unprecedented cardiovascular computer model which, relying on the latest GPU-acceleration technologies, replicates the full multi-physics dynamics of the human heart within a few hours per heartbeat. This opens the way to extensive simulation campaigns to study the response of synthetic cohorts of patients to cardiovascular disorders, novel prosthetic devices or surgical procedures. As a proof-of-concept we show the results obtained for left bundle branch block disorder and the subsequent cardiac resynchronization obtained by pacemaker implantation. The in-silico results closely match those obtained in clinical practice, confirming the reliability of the method. This innovative approach makes possible a systematic use of digital twins in cardiovascular research, thus reducing the need of real patients with their economical and ethical implications. This study is a major step towards in-silico clinical trials in the era of digital medicine.

Source: Scientific reports (Nature Publishing Group) 13 (2023). doi:10.1038/s41598-023-34098-8

Publisher: Nature Publishing Group, London , Regno Unito

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