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A. Tveito, K. H. Jæger, N. Huebsch, B. Charrez, A. G. Edwards, S. Wall and K. E. Healy

Inversion and computational maturation of drug response using human stem cell derived cardiomyocytes in microphysiological systems

Nature Scientific Reports 8 (2018).
Journal Article
2018
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A. Tveito, M. M. Maleckar and G. T. Lines

Computing Optimal Properties of Drugs Using Mathematical Models of Single Channel Dynamics

Computational and Mathematical Biophysics 6, no. 1 (2018): 41-64.
Journal Article
2018
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T. Mäki-Marttunen, G. T. Lines, A. G. Edwards, A. Tveito, A. M. Dale, G. T. Einevoll and O. A. Andreassen

Pleiotropic effects of schizophrenia-associated genetic variants in neuron firing and cardiac pacemaking revealed by computational modeling

Translational Psychiatry 7 (2017): 5.
Journal Article
2017
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A. Tveito, K. H. Jæger, M. Kuchta, K. Mardal and M. E. Rognes

A cell-based framework for numerical modelling of electrical conduction in cardiac tissue

Frontiers in Physics, Computational Physics 5 (2017).
Journal Article
2017
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19 November 2018

Aslak Tveito i podcatsen "De som bygger det nye Norge med Silvija Seres"

Tidligere i år gjestet Managing Director Aslak Tveito podcasten "De som bygger det nye Norge med Silvija Seres"...
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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.
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Simulas, Simula, Kalkulo
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2018

Journal articles

A. Tveito, M. M. Maleckar and G. T. Lines

Computing Optimal Properties of Drugs Using Mathematical Models of Single Channel Dynamics

Computational and Mathematical Biophysics 6, no. 1 (2018): 41-64.
Status: Published
A. Tveito, K. H. Jæger, N. Huebsch, B. Charrez, A. G. Edwards, S. Wall and K. E. Healy

Inversion and computational maturation of drug response using human stem cell derived cardiomyocytes in microphysiological systems

Nature Scientific Reports 8 (2018).
Status: Published

Posters

S. Wall, K. H. Jæger, N. Huebsch, B. Charrez, K. Healy and A. Tveito

In Silico - Augmented Cardiac Microphysiological Systems for Evaluating Cardiac Drug Effects

BMES Conference, Atlanta, USA, 2018.
Status: Published
S. Wall, K. H. Jæger, N. Huebsch, B. Charrez, K. Healy and A. Tveito

In Silico - Augmented Cardiac Microphysiological Systems for Evaluating Cardiac Drug Effects

Keystone Organ on Chip Symposium, Montana, USA, 2018.
Status: Published

Talks, contributed

S. Wall, A. Tveito, K. H. Jæger, A. Edwards, K. Healy, N. Huebsch and B. Charrez

In Silico Modeling of Cardiac Microphysiological Systems for Evaluating Drug Side Effects

In Heart By Numbers Conference, Berlin, Germany., 2018.
Status: Published
2017

Journal articles

T. Mäki-Marttunen, G. T. Lines, A. G. Edwards, A. Tveito, A. M. Dale, G. T. Einevoll and O. A. Andreassen

Pleiotropic effects of schizophrenia-associated genetic variants in neuron firing and cardiac pacemaking revealed by computational modeling

Translational Psychiatry 7 (2017): 5.
Status: Published
A. Tveito, K. H. Jæger, G. T. Lines, Ł. Paszkowski, J. Sundnes, A. G. Edwards, T. Mäki-Marttunen, G. Halnes and G. T. Einevoll

An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons

Frontiers in Computational Neuroscience 11 (2017): 27.
Status: Published
A. Tveito, K. H. Jæger, M. Kuchta, K. Mardal and M. E. Rognes

A cell-based framework for numerical modelling of electrical conduction in cardiac tissue

Frontiers in Physics, Computational Physics 5 (2017).
Status: Published
2016

Journal articles

A. Tveito, G. T. Lines, A. G. Edwards and A. D. McCulloch

Computing rates of Markov models of voltage-gated ion channels by inverting partial differential equations governing the probability density functions of the conducting and non-conducting states

Mathematical Biosciences 277 (2016): 126-135.
Status: Published

Books

A. Tveito and G. T. Lines

Computing characterizations of drugs for ion channels and receptors using Markov models

Vol. LNCSE Vol. 111. Heidelberg, Germany: Springer, 2016.
Status: Published