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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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Bibliografski detalji
Glavni autori: Da Un Jeong, Yedam Yoo, Aroli Marcellinus, Ki‐Suk Kim, Ki Moo Lim
Format: Artigo
Jezik:Inglês
Izdano: Wiley 2022-05-01
Serija:CPT: Pharmacometrics & Systems Pharmacology
Online pristup:https://doi.org/10.1002/psp4.12803
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