Outputs (2)

Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies (2024)
Journal Article
Grandits, T., Augustin, C. M., Haase, G., Jost, N., Mirams, G. R., Niederer, S. A., …Jung, A. (2024). Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies. eLife, 12, Article RP91911. https://doi.org/10.7554/elife.91911.3

Computer models of the human ventricular cardiomyocyte action potential (AP) have reached a level of detail and maturity that has led to an increasing number of applications in the pharmaceutical sector. However, interfacing the models with experimen... Read More about Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies.

Understanding the impact of numerical solvers on inference for differential equation models (2024)
Journal Article
Creswell, R., Shepherd, K. M., Lambert, B., Mirams, G. R., Lei, C. L., Tavener, S., …Gavaghan, D. J. (2024). Understanding the impact of numerical solvers on inference for differential equation models. Journal of the Royal Society, Interface, 21(212), Article 20230369. https://doi.org/10.1098/rsif.2023.0369

Most ordinary differential equation (ODE) models used to describe biological or physical systems must be solved approximately using numerical methods. Perniciously, even those solvers that seem sufficiently accurate for the forward problem, i.e. for... Read More about Understanding the impact of numerical solvers on inference for differential equation models.