Machine learning identifies abnormal Ca(2+)transients in human induced pluripotent stem cell-derived cardiomyocytes

Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide an excellent platform for potential clinical and research applications. Identifying abnormal Ca(2+) transients is crucial for evaluating cardiomyocyte function that requires labor-intensive manual effort. Therefore, we de...

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Detalles Bibliográficos
Autores principales: Hwang, Hyun, Liu, Rui, Maxwell, Joshua T., Yang, Jingjing, Xu, Chunhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550597/
https://www.ncbi.nlm.nih.gov/pubmed/33046816
http://dx.doi.org/10.1038/s41598-020-73801-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550597/
https://www.ncbi.nlm.nih.gov/pubmed/33046816
http://dx.doi.org/10.1038/s41598-020-73801-x

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