Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
Thomas Grandits,
Christoph M. Augustin,
Gundolf Haase
et al.
Abstract: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 experimental data can become a significant computational burden. To mitigate the computational burden, the present study introduces a neural network (NN) that emulates the AP for given maximum conductances of selected ion channels, pumps, and exchangers. Its applicability i… Show more
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