Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies.

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第一作者： Thomas,Grandits

第一单位： Department of Mathematics and Scientific Computing, University of Graz, Graz, Austria.

作者： Thomas,Grandits ^[1] ; Christoph M,Augustin ^[2] ; Gundolf,Haase ^[3] ; Norbert,Jost ^[4] ; Gary R,Mirams ^[1] ; Steven A,Niederer ^[5] ; Gernot,Plank ^[6] ; András,Varró ^[7] ; László,Virág ^[8] ; Alexander,Jung ^[3]

作者单位： Department of Mathematics and Scientific Computing, University of Graz, Graz, Austria. ^[1] NAWI Graz, University of Graz, Graz, Austria. ^[2] Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria. ^[3] BioTechMed-Graz, Graz, Austria. ^[4] Department of Pharmacology and Pharmacotherapy, University of Szeged, Szeged, Hungary. ^[5] HUN-REN-TKI, Research Group of Pharmacology, Budapest, Hungary. ^[6] Centre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom. ^[7] Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom. ^[8]

关键词 cardiac electrophysiology cell biology computational biology computer modeling computer simulation human machine learning surrogate modeling systems biology

主题词人类(Humans);动作电位(Action Potentials);肌细胞, 心脏(Myocytes, Cardiac);计算机模拟(Computer Simulation);生物学鉴定法(Biological Assay)

DOI 10.7554/eLife.91911

PMID 38598284

发布时间 2024-04-11

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准确一般字义偏差语意偏离译文作用小提交