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Characterizing arrhythmia using machine learning analysis of Ca(2+) cycling in human cardiomyocytes
Accurate modeling of the heart electrophysiology to predict arrhythmia susceptibility remains a challenge. Current electrophysiological analyses are hypothesis-driven models drawing conclusions from changes in a small subset of electrophysiological parameters because of the difficulty of handling an...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391413/ https://www.ncbi.nlm.nih.gov/pubmed/35839773 http://dx.doi.org/10.1016/j.stemcr.2022.06.005 |