Proarrhythmic risk assessment of drugs by <scp> d V m </scp> /d t shapes using the convolutional neural network-Reference-Cited by-同舟云学术

Proarrhythmic risk assessment of drugs by d V _m /d t shapes using the convolutional neural network

Published:2022-05 Issue:5 Volume:11 Page:653-664
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacom & Syst Pharma

Author:

Jeong Da Un¹^ORCID,Yoo Yedam¹,Marcellinus Aroli¹,Kim Ki‐Suk²^ORCID,Lim Ki Moo¹³

Affiliation:

1. Department of IT Convergence Engineering Kumoh National Institute of Technology Gumi Korea

2. R&D Center for Advanced Pharmaceuticals and Evaluation Korea Institute of Toxicology Daejeon Korea

3. Department of Medical IT Convergence Engineering Kumoh National Institute of Technology Gumi Korea

Funder

Institute for Information and Communications Technology Promotion

Ministry of Science and ICT, South Korea

National Research Foundation of Korea

Ministry of Food and Drug Safety

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12803

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3. Post‐marketing withdrawal of 462 medicinal products because of adverse drug reactions: a systematic review of the world literature;Onakpoya IJ;BMC Med,2016

4. Drug induced QT prolongation and torsades de pointes

5. The Comprehensive in Vitro Proarrhythmia Assay (CiPA) initiative — Update on progress

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