Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytes

Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytes

Earlier it has been found that peak data of calcium transient signals originating from human induced pluripotent stem cell-derived cardiomyocytes are possible to be used to study how machine learning methods can be applied to separate which cells respond to a drug. Beating behavior of induced plurip...

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Bibliographic Details
Main Authors: Martti Juhola, Henry Joutsijoki, Kirsi Penttinen, Katriina Aalto-Setälä
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Cardiac diseases
Drugs
Human induced pluripotent stem cell-derived cardiomyocytes
Machine learning methods
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S235291482500019X
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