This project aims to automate the process of combining CellML modules into a system model, then doing parameter identification to calibrate to clinical data. Common use cases include generating coupled neuron models, generating neuron to cardiomyocyte models, generating patient specific 0D blood flow networks and more.
I am developing a class to generate cpp code from the cellml models. This uses libcellml.
In this generation we will be able to annotate the cellml models from module annotations in the module_config file. We will be able to generate cpp models that:
have time delays.
Can couple with external Cpp code (Muller's 1D code for example).
I am developing a class to generate cpp code from the cellml models. This uses libcellml.
In this generation we will be able to annotate the cellml models from module annotations in the module_config file. We will be able to generate cpp models that: