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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.

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FinbarArgus/circulatory_autogen

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This project allows the generation and calibration of cellml (and soon to be more) circulatory system models from an array of module/vessel names and connections.

Follow the instructions in the tutorial to run the project: https://finbarargus.github.io/circulatory_autogen/

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circulatory_autogen is fully open source and distributed under the very permissive Apache License 2.0. See LICENSE for more information.

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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.

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