Multiscale cardiac electrophysiology: Bridging genomes to phenomes via CellML and bond graphs

Presentation from a Manaaki Manawa seminar on the theme: From genomes to phenomes.Abstract: Translating genetic variation into organism-level cardiac function requires robust, multiscale modelling frameworks. In this presentation, we will explore how coupling CellML with physics-based bond graphs enables the creation of modular, reproducible computational models to systematically map genotype-to-phenotype relationships in cardiac electrophysiology.

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Publication Details

Journal
University of Auckland Data Repository
Published
2026-10-27
DOI
https://doi.org/10.17608/k6.auckland.34806444
Primary Topic
Cardiac electrophysiology and arrhythmias
Type
article
Field-Weighted Citation Impact
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article

Multiscale cardiac electrophysiology: Bridging genomes to phenomes via CellML and bond graphs

David Phillip Nickerson
University of Auckland Data Repository
Cardiac electrophysiology and arrhythmias
article

Multiscale cardiac electrophysiology: Bridging genomes to phenomes via CellML and bond graphs

David Phillip Nickerson
article en

Abstract

Presentation from a Manaaki Manawa seminar on the theme: From genomes to phenomes.Abstract: Translating genetic variation into organism-level cardiac function requires robust, multiscale modelling frameworks. In this presentation, we will explore how coupling CellML with physics-based bond graphs enables the creation of modular, reproducible computational models to systematically map genotype-to-phenotype relationships in cardiac electrophysiology.

University of Auckland Data Repository
University of Auckland (NZ)
Good health and well-being
Openalex Percentile: Top 11%
Cardiac electrophysiology and arrhythmias
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