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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[](https://repowise.dev/repo/physiomelinks/circulatory_autogen)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. This page is an auto-generated, always-fresh map of the physiomelinks/circulatory_autogen repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
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