Search Results - Mirams, Gary R.
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Uncertainty quantification reveals the importance of data variability and experimental design considerations for in silico proarrhythmia risk assessment by Chang, Kelly, Dutta, Sara, Mirams, Gary R., Beattie, Kylie, Sheng, Jiansong, Tran, Phu N., Wu, Min, Wu, Wendy W., Colatsky, Thomas, Strauss, David G., Li, Zhihua
Published 2017Get full text
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Nonclinical cardiovascular safety of pitolisant: comparing International Conference on Harmonization S7B and Comprehensive in vitro Pro-arrhythmia Assay initiative studies by Ligneau, Xavier, Shah, Rashmi R., Berrebi-Bertrand, Isabelle, Mirams, Gary R., Robert, Philippe, Landais, Laurent, Maison-Blanche, Pierre, Faivre, Jean-François, Lecomte, Jeanne-Marie, Schwartz, Jean-Charles
Published 2017Get full text
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High resolution structural evidence suggests the Sarcoplasmic Reticulum forms microdomains with acidic stores (lysosomes) in the heart by Aston, Daniel, Capel, Rebecca A., Ford, Kerrie L., Christian, Helen C., Mirams, Gary R., Rog-Zielinska, Eva A., Kohl, Peter, Galione, Antony, Burton, Rebecca A.B., Terrar, Derek A.
Published 2017Get full text
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Tailoring mathematical models to stem-cell derived cardiomyocyte lines can improve predictions of drug-induced changes to their electrophysiology by Lei, Chon-Lok, Wang, Ken, Clerx, Michael, Johnstone, Ross H., Hortigon-Vinagre, Maria P., Zamora, Victor, Allan, Andrew, Smith, Godfrey L., Gavaghan, David J., Mirams, Gary R., Polonchuk, Liudmila
Published 2017Get full text
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Assessment of an in silico mechanistic model for proarrhythmia risk prediction under the CiPA initiative by Li, Zhihua, Wu, Wendy W., Sheng, Jiansong, Tran, Phu N., Wu, Min, Ranolph, Aaron, Johnstone, Ross H., Mirams, Gary R., Kuryshev, Yuri, Kramer, James, Wu, Caiyun, Crumb, William J., Strauss, David G.
Published 2018Get full text