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Editorial
. 2023 Jun 21:14:1231342.
doi: 10.3389/fphys.2023.1231342. eCollection 2023.

Editorial: Computational methods in cardiac electrophysiology

Matthijs Cluitmans  1 , Richard Walton  2 , Gernot Plank  3
Affiliations
Editorial

Editorial: Computational methods in cardiac electrophysiology

Matthijs Cluitmans et al. Front Physiol. .
No abstract available

Keywords: arrhythmias (cardiac); digital twin; electrophysiolgy; methodology; personalized medicine; signal processing; technology.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Current mechanistic reasoning frameworks highlight the complex spatiotemporal interaction of trigger and substrate (A); computational modeling is essential to integrate detailed assessment of trigger and substrate characteristics to obtain translational insights (B). Adapted from Cluitmans et al., 2023, licensed CC-BY-4.0.
See this image and copyright information in PMC

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References

    1. Cluitmans M. (2023). Fuzzy meets exact: The synergy between large language models and biophysics. Transform. Med.Tech. 2023. Available at: https://www.transformingmed.tech/p/the-synergy-between-llm-and-biophysic... .
    1. Cluitmans M. J. M., Bayer J., Bear L. R., ter Bekke R. M. A., Heijman J., Coronel R., et al. (2023). The circle of reentry: Characteristics of trigger-substrate interaction leading to sudden cardiac arrest. Front. Cardiovasc. Med. 10, 1121517. 10.3389/FCVM.2023.1121517 - DOI - PMC - PubMed
    1. Krenn M., Pollice R., Guo S. Y., Aldeghi M., Cervera-Lierta A., Friederich P., et al. (2022). On scientific understanding with artificial intelligence. Nat. Rev. Phys. 412 4, 761–769. 10.1038/s42254-022-00518-3 - DOI - PMC - PubMed

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