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Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?.

The Journal of physiology

Niederer SA, Smith NP.
PMID: 27121495
J Physiol. 2016 Dec 01;594(23):6849-6863. doi: 10.1113/JP272003. Epub 2016 Jul 03.

Heart disease continues to be a significant clinical problem in Western society. Predictive models and simulations that integrate physiological understanding with patient information derived from clinical data have huge potential to contribute to improving our understanding of both the...

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Niederer SA, Smith NP. Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?. J Physiol. 2016;594(23):6849-6863doi: 10.1113/JP272003.
Niederer, S. A., & Smith, N. P. (2016). Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?. The Journal of physiology, 594(23), 6849-6863. https://doi.org/10.1113/JP272003
Niederer, Steven A, and Smith, Nic P. "Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?." The Journal of physiology vol. 594,23 (2016): 6849-6863. doi: https://doi.org/10.1113/JP272003
Niederer SA, Smith NP. Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?. J Physiol. 2016 Dec 01;594(23):6849-6863. doi: 10.1113/JP272003. Epub 2016 Jul 03. PMID: 27121495; PMCID: PMC5134392.
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Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation.

Journal of computational physics

Augustin CM, Neic A, Liebmann M, Prassl AJ, Niederer SA, Haase G, Plank G.
PMID: 26819483
J Comput Phys. 2016 Jan 15;305:622-646. doi: 10.1016/j.jcp.2015.10.045.

Electromechanical (EM) models of the heart have been used successfully to study fundamental mechanisms underlying a heart beat in health and disease. However, in all modeling studies reported so far numerous simplifications were made in terms of representing biophysical...

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Augustin CM, Neic A, Liebmann M, et al. Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation. J Comput Phys. 2016;305:622-646doi: 10.1016/j.jcp.2015.10.045.
Augustin, C. M., Neic, A., Liebmann, M., Prassl, A. J., Niederer, S. A., Haase, G., & Plank, G. (2016). Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation. Journal of computational physics, 305622-646. https://doi.org/10.1016/j.jcp.2015.10.045
Augustin, Christoph M, et al. "Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation." Journal of computational physics vol. 305 (2016): 622-646. doi: https://doi.org/10.1016/j.jcp.2015.10.045
Augustin CM, Neic A, Liebmann M, Prassl AJ, Niederer SA, Haase G, Plank G. Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation. J Comput Phys. 2016 Jan 15;305:622-646. doi: 10.1016/j.jcp.2015.10.045. PMID: 26819483; PMCID: PMC4724941.
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