They introduce a fast and efficient data-driven methodology for creating reliable mathematical models of cardiac excitation using recorded videos at the tissue level.

In a nutshell, the paper demonstrates that recorded movies at the tissue level can be used to swiftly generate reliable mathematical models for cardiac tissue excitation. By leveraging exponentially weighed moving averages and polynomial regression, a rapid and efficient pipeline for creating in-silico models is unlocked. This method takes just a few minutes!

Congratulations to Desmond and his co-authors from the Leiden University Medical Center, Tim De Coster, Antoine de Vries and Daniel Pijnappels.

The full paper can be found here:
https://doi.org/10.1016/j.compbiomed.2024.107949