Primary tabs

Most recent publications

K. H. Jæger and A. Tveito

Deriving the Bidomain Model of Cardiac Electrophysiology From a Cell-Based Model; Properties and Comparisons

Frontiers in Physiology 12 (2022): 811029.
Journal Article
2022
View
K. H. Jæger, A. G. Edwards, W. R. Giles and A. Tveito

From Millimeters to Micrometers; Re-introducing Myocytes in Models of Cardiac Electrophysiology

Frontiers in Physiology 12 (2021): 763584.
Journal Article
2021
View
K. H. Jæger, A. G. Edwards, W. R. Giles and A. Tveito

A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes

PLoS Computational Biology 17 (2021): e1009233.
Journal Article
2021
View
K. H. Jæger, S. Wall and A. Tveito

Computational prediction of drug response in short QT syndrome type 1 based on measurements of compound effect in stem cell-derived cardiomyocytes

PLoS Computational Biology 17, no. 2 (2021): e1008089.
Journal Article
2021
View

News

22 September 2021

Professor Aslak Tveito in the podcast Springer Math.

Projects

DigiBrain: From genes to brain function in health and disease

Simula in the media

18 March 2016

Her er Simulas 14 eksempler på egen suksess med dagens organisasjonsform

BAKGRUNN: 1. Simula opprettet Kalkulo og inngikk et omfattende industrisamarbeid med Norsk Hydro etterfulgt av Statoil. Samarbeidet har gitt inntekter på nærmere 150 MNOK til Simula. 2.
: 
Simulas, Simula, Kalkulo
Budstikka

Find publication

Status

Departments

Publication type

Year published

Export 193 results:
2022

Journal articles

K. H. Jæger and A. Tveito

Deriving the Bidomain Model of Cardiac Electrophysiology From a Cell-Based Model; Properties and Comparisons

Frontiers in Physiology 12 (2022): 811029.
Status: Published
2021

Journal articles

K. H. Jæger, A. G. Edwards, W. R. Giles and A. Tveito

A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes

PLoS Computational Biology 17 (2021): e1009233.
Status: Published
K. H. Jæger, A. G. Edwards, W. R. Giles and A. Tveito

From Millimeters to Micrometers; Re-introducing Myocytes in Models of Cardiac Electrophysiology

Frontiers in Physiology 12 (2021): 763584.
Status: Published
K. H. Jæger, V. Charwat, S. Wall, K. E. Healy and A. Tveito

Identifying drug response by combining measurements of the membrane potential, the cytosolic calcium concentration, and the extracellular potential in microphysiological systems

Frontiers in Pharmacology 11 (2021): 569489.
Status: Published
K. H. Jæger, S. Wall and A. Tveito

Computational prediction of drug response in short QT syndrome type 1 based on measurements of compound effect in stem cell-derived cardiomyocytes

PLoS Computational Biology 17, no. 2 (2021): e1008089.
Status: Published
K. H. Jæger, K. G. Hustad, X. Cai and A. Tveito

Efficient numerical solution of the EMI model representing the extracellular space (E), cell membrane (M) and intracellular space (I) of a collection of cardiac cells

Frontiers in Physics 8 (2021): 579461.
Status: Published

Book chapters

K. H. Jæger and A. Tveito

Derivation of a Cell-Based Mathematical Model of Excitable Cells

In Modeling Excitable Tissue: The EMI Framework, 1-13. Vol. 7. Cham: Springer International Publishing, 2021.
Status: Published
K. H. Jæger, K. G. Hustad, X. Cai and A. Tveito

Operator Splitting and Finite Difference Schemes for Solving the EMI Model

In Modeling Excitable Tissue: The EMI Framework, 44-55. Vol. 7. Cham: Springer International Publishing, 2021.
Status: Published
2020

Journal articles

K. H. Jæger, V. Charwat, B. Charrez, H. Finsberg, M. Maleckar, S. Wall, K. E. Healy and A. Tveito

Improved computational identification of drug response using optical measurements of human stem cell derived cardiomyocytes in microphysiological systems

Frontiers in Pharmacology 10 (2020).
Status: Published
A. Tveito, K. H. Jæger, M. Maleckar, W. R. Giles and S. Wall

Computational translation of drug effects from animal experiments to human ventricular myocytes

Nature Scientific Reports (2020): 10537.
Status: Published