/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. The common use case is for going from a clinical image of patient vasculature to a 0D model of blood flow with patient specific anatomy, then calibrating function to patient pressure.

Primary LanguagePythonApache License 2.0Apache-2.0

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