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Multiphysics simulations reveal haemodynamic impacts of patient-derived fibrosis-related changes in left atrial tissue mechanics.

Autor: Gonzalo A; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA., Augustin CM; Gottfried Schatz Research Center, Division of Biophysics, Medical University of Graz, Graz, Austria., Bifulco SF; Department of Bioengineering, University of Washington, Seattle, WA, USA., Telle Å; Department of Bioengineering, University of Washington, Seattle, WA, USA., Chahine Y; School of Cardiology, University of Washington, Seattle, WA, USA., Kassar A; School of Cardiology, University of Washington, Seattle, WA, USA., Guerrero-Hurtado M; Department of Aerospace and Biomedical Engineering, Universidad Carlos III de Madrid, Leganés, Spain., Durán E; Dept. Ing. Mecánica, Térmica y de Fluidos, Universidad de Málaga, Málaga, Spain., Martínez-Legazpi P; Department of Mathematical and Fluid Physics, UNED, Madrid, Spain., Flores O; Department of Aerospace and Biomedical Engineering, Universidad Carlos III de Madrid, Leganés, Spain., Bermejo J; Hospital General Universitario Gregorio Marañón, Madrid, Spain.; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.; Medical School, Complutense University of Madrid, Madrid, Spain., Plank G; Gottfried Schatz Research Center, Division of Biophysics, Medical University of Graz, Graz, Austria.; BioTechMed-Graz, Graz, Austria., Akoum N; School of Cardiology, University of Washington, Seattle, WA, USA., Boyle PM; Department of Bioengineering, University of Washington, Seattle, WA, USA., Del Alamo JC; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA.; Center for Cardiovascular Biology, University of Washington, Seattle, WA, USA.; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA.

Publikováno v: The Journal of physiology [J Physiol] 2024 Nov 08. Date of Electronic Publication: 2024 Nov 08.

pyCEPS: A cross-platform electroanatomic mapping data to computational model conversion platform for the calibration of digital twin models of cardiac electrophysiology.

Autor: Arnold R; Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria., Prassl AJ; Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria., Neic A; NumeriCor GmbH, Graz, Austria., Thaler F; Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria., Augustin CM; Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria., Gsell MAF; Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria., Gillette K; Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria., Manninger M; Division of Cardiology, Department of Medicine, Medical University of Graz, Graz, Austria., Scherr D; Division of Cardiology, Department of Medicine, Medical University of Graz, Graz, Austria., Plank G; Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; NumeriCor GmbH, Graz, Austria; BioTechMed-Graz, Graz, Austria. Electronic address: gernot.plank@medunigraz.at.

Publikováno v: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Sep; Vol. 254, pp. 108299. Date of Electronic Publication: 2024 Jun 24.

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations.

Autor: Salvador M; Institute for Computational and Mathematical Engineering, Stanford University, California, CA, USA. msalvad@stanford.edu.; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. msalvad@stanford.edu.; MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy. msalvad@stanford.edu., Strocchi M; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; National Heart and Lung Institute, Imperial College London, London, UK., Regazzoni F; MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy., Augustin CM; Institute of Biophysics, Medical University of Graz, Graz, Austria.; BioTechMed-Graz, Graz, Austria., Dede' L; MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy., Niederer SA; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; National Heart and Lung Institute, Imperial College London, London, UK.; The Alan Turing Institute, London, UK., Quarteroni A; MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy.; École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Publikováno v: NPJ digital medicine [NPJ Digit Med] 2024 Apr 11; Vol. 7 (1), pp. 90. Date of Electronic Publication: 2024 Apr 11.

Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies.

Autor: Grandits T; Department of Mathematics and Scientific Computing, University of Graz.; NAWI Graz, University of Graz., Augustin CM; Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Medical Physics and Biophysics, Medical University of Graz.; BioTechMed-Graz., Haase G; Department of Mathematics and Scientific Computing, University of Graz., Jost N; Department of Pharmacology and Pharmacotherapy, University of Szeged.; HUN-REN-TKI, Research Group of Pharmacology., Mirams GR; Centre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham., Niederer SA; Division of Imaging Sciences & Biomedical Engineering, King's College London., Plank G; Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Medical Physics and Biophysics, Medical University of Graz.; BioTechMed-Graz., Varró A; Department of Pharmacology and Pharmacotherapy, University of Szeged.; HUN-REN-TKI, Research Group of Pharmacology., Virág L; Department of Pharmacology and Pharmacotherapy, University of Szeged., Jung A; Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Medical Physics and Biophysics, Medical University of Graz.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2023 Dec 25. Date of Electronic Publication: 2023 Dec 25.