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Page 1
Proarrhythmic risk assessment of drugs by dVm /dt shapes using the convolutional neural network.
CPT Pharmacometrics Syst Pharmacol. 2022 May;11(5):653-664. doi: 10.1002/psp4.12803. Epub 2022 May 17.
CPT Pharmacometrics Syst Pharmacol. 2022.
PMID: 35579100
Free PMC article.
Application of Convolutional Neural Networks Using Action Potential Shape for In-Silico Proarrhythmic Risk Assessment.
Jeong DU, Yoo Y, Marcellinus A, Lim KM.
Jeong DU, et al. Among authors: yoo y.
Biomedicines. 2023 Jan 30;11(2):406. doi: 10.3390/biomedicines11020406.
Biomedicines. 2023.
PMID: 36830942
Free PMC article.
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Assessment of Drug Proarrhythmicity Using Artificial Neural Networks With in silico Deterministic Model Outputs.
Yoo Y, Marcellinus A, Jeong DU, Kim KS, Lim KM.
Yoo Y, et al.
Front Physiol. 2021 Dec 10;12:761691. doi: 10.3389/fphys.2021.761691. eCollection 2021.
Front Physiol. 2021.
PMID: 34955882
Free PMC article.
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Verification of the Efficacy of Mexiletine Treatment for the A1656D Mutation on Downgrading Reentrant Tachycardia Using a 3D Cardiac Electrophysiological Model.
Qauli AI, Yoo Y, Marcellinus A, Lim KM.
Qauli AI, et al. Among authors: yoo y.
Bioengineering (Basel). 2022 Oct 7;9(10):531. doi: 10.3390/bioengineering9100531.
Bioengineering (Basel). 2022.
PMID: 36290499
Free PMC article.
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