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Sex-Specific Classification of Drug-Induced Torsade de Pointes Susceptibility Using Cardiac Simulations and Machine Learning.

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Title: Sex-Specific Classification of Drug-Induced Torsade de Pointes Susceptibility Using Cardiac Simulations and Machine Learning.
Authors: Fogli Iseppe A; Department of Pharmacology, University of California, Davis, California, USA., Ni H; Department of Pharmacology, University of California, Davis, California, USA., Zhu S; Department of Pharmacology, University of California, Davis, California, USA., Zhang X; Department of Pharmacology, University of California, Davis, California, USA., Coppini R; Department of Neuroscience, Psychology, Drug Sciences and Child Health (NeuroFarBa), University of Florence, Florence, Italy., Yang PC; Department of Physiology and Membrane Biology, University of California, Davis, California, USA., Srivatsa U; Department of Internal Medicine, University of California, Davis, California, USA., Clancy CE; Department of Pharmacology, University of California, Davis, California, USA.; Department of Physiology and Membrane Biology, University of California, Davis, California, USA., Edwards AG; Department of Pharmacology, University of California, Davis, California, USA., Morotti S; Department of Pharmacology, University of California, Davis, California, USA., Grandi E; Department of Pharmacology, University of California, Davis, California, USA.
Source: Clinical pharmacology and therapeutics [Clin Pharmacol Ther] 2021 Aug; Vol. 110 (2), pp. 380-391. Date of Electronic Publication: 2021 Apr 19.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 0372741 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-6535 (Electronic) Linking ISSN: 00099236 NLM ISO Abbreviation: Clin Pharmacol Ther Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Sex-Specific Classification of Drug-Induced Torsade de Pointes Susceptibility Using Cardiac Simulations and Machine Learning.
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  Data: <searchLink fieldCode="AU" term="%22Fogli+Iseppe+A%22">Fogli Iseppe A</searchLink>; Department of Pharmacology, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Ni+H%22">Ni H</searchLink>; Department of Pharmacology, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Zhu+S%22">Zhu S</searchLink>; Department of Pharmacology, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Department of Pharmacology, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Coppini+R%22">Coppini R</searchLink>; Department of Neuroscience, Psychology, Drug Sciences and Child Health (NeuroFarBa), University of Florence, Florence, Italy.<br /><searchLink fieldCode="AU" term="%22Yang+PC%22">Yang PC</searchLink>; Department of Physiology and Membrane Biology, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Srivatsa+U%22">Srivatsa U</searchLink>; Department of Internal Medicine, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Clancy+CE%22">Clancy CE</searchLink>; Department of Pharmacology, University of California, Davis, California, USA.; Department of Physiology and Membrane Biology, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Edwards+AG%22">Edwards AG</searchLink>; Department of Pharmacology, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Morotti+S%22">Morotti S</searchLink>; Department of Pharmacology, University of California, Davis, California, USA.<br /><searchLink fieldCode="AU" term="%22Grandi+E%22">Grandi E</searchLink>; Department of Pharmacology, University of California, Davis, California, USA.
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