A deep learning algorithm to translate and classify cardiac electrophysiology

A deep learning algorithm to translate and classify cardiac electrophysiology

The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critical in vitro advance in the study of patient-specific physiology, pathophysiology, and pharmacology. We designed a new deep learning multitask network approach intended to address the low throughput, h...

Full description

Bibliographic Details
Main Authors: Parya Aghasafari, Pei-Chi Yang, Divya C Kernik, Kazuho Sakamoto, Yasunari Kanda, Junko Kurokawa, Igor Vorobyov, Colleen E Clancy
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-07-01
Series:eLife
Subjects:
artificial intelligence
machine learning
deep learning
computational biology
arrhythmias
pharmacology
Online Access:https://elifesciences.org/articles/68335

Internet

https://elifesciences.org/articles/68335

Similar Items