Author

M. Peirlinck

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 4 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 4 Organism:human· 4 Approach:statistical model· 4 Approach:deep learning· 3 Research Focus:drug response / drug discovery· 2 Assay:electrophysiology· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

E. Kuhl· 4 shared J. A. Hurtado· 2 shared K. Linka· 2 shared A. Dubin· 1 shared A. Marsden· 1 shared D. B. Ennis· 1 shared D. Parker· 1 shared F. Kong· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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4 shared papersBioengineering

E. Kuhl

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Democratizing biomedical simulation through automated model discovery and a universal material subroutine

M. Peirlinck, K. Linka, J. A. Hurtado, G. A. Holzapfel, E. Kuhl

This paper automates material model selection in finite element simulations using constitutive neural networks, improving robustness and accessibility of biomedical simulations.

bioRxiv · Dec 6, 2023Bioengineering

Digital twinning of cardiac electrophysiology for congenital heart disease

M. Salvador, F. Kong, M. Peirlinck, D. Parker, H. Chubb, A. Dubin, A. Marsden

The paper develops a computational pipeline to create digital twins of cardiac electrophysiology for pediatric congenital heart disease patients using BLNMs to match clinical ECGs.

bioRxiv · Nov 27, 2023 · PreprintBioengineering

On automated model discovery and a universal material subroutine

M. Peirlinck, K. Linka, J. A. Hurtado, E. Kuhl

This paper automates model selection for constitutive modeling in finite element analysis, demonstrating a universal material subroutine that generalizes to multiple models and accurately predicts stress in human brain tissue.

bioRxiv · Jul 19, 2023 · PreprintBioengineering

How drugs modulate the performance of the human heart

M. Peirlinck, J. Yao, F. Sahli Costabal, E. Kuhl

This study uses a multiphysics framework to show how drug concentrations affect heart rate, myofiber stretch, tissue relaxation, and cardiac output in the human heart.

bioRxiv · Jul 12, 2021Biophysics

A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Hearts

F. O. Kolawole, M. Peirlinck, T. E. Cork, V. Y. Wang, S. S. Dual, M. O. Levenston, E. Kuhl, D. B. Ennis

This paper develops 3D-printed heart phantoms with known stiffness to validate myocardial stiffness estimation methods using MRI and computational modeling.

bioRxiv · Feb 21, 2021 · PreprintBioengineering