Understanding the impact of numerical solvers on inference for differential equation models

Creswell, Richard; Shepherd, Katherine M.; Lambert, Ben; Mirams, Gary R.; Lei, Chon Lok; Tavener, Simon; Robinson, Martin; Gavaghan, David J.

doi:10.1098/rsif.2023.0369

All Outputs (3)

Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies (2024)
Journal Article

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.

Compartmentalisation proteomics revealed endolysosomal protein network changes in a goat model of atrial fibrillation (2024)
Journal Article

Endolysosomes (EL) are known for their role in regulating both intracellular trafficking and proteostasis. EL facilitate the elimination of damaged membranes, protein aggregates, membranous organelles and play an important role in calcium signalling.... Read More about Compartmentalisation proteomics revealed endolysosomal protein network changes in a goat model of atrial fibrillation.

Understanding the impact of numerical solvers on inference for differential equation models (2024)
Journal Article

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.