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Proarrhythmic risk assessment of drugs by dVm/dt shapes using the convolutional neural network

Abstract Comprehensive in vitro Proarrhythmia Assay (CiPA) projects for assessing proarrhythmic drugs suggested a logistic regression model using qNet as the Torsades de Pointes (TdP) risk assessment biomarker, obtained from in silico simulation. However, using a single in silico feature, such as qN...

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Bibliographic Details
Main Authors:	Da Un Jeong (Author), Yedam Yoo (Author), Aroli Marcellinus (Author), Ki‐Suk Kim (Author), Ki Moo Lim (Author)
Format:	Book
Published:	Wiley, 2022-05-01T00:00:00Z.
Subjects:	article
Online Access:	Connect to this object online.
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