The deliverable describes the first version of the definition of the input space that will be used to feed the virtual cohort generators. Accurate definition of the input space depends on available clinical data, the model used for virtual cohort generation and model parameter prioritization based on advanced sensitivity analysis techniques. The final models to be used will be part of future deliverables, which also holds for the sensitivity analysis. In this document we will describe the envisioned strategy for input space definition and how this strategy will result in an input distribution that captures realistic aortic valve disease and heart failure patients. The feasibility of the input space definition as envisioned by the project methodology will be supported by preliminary results of virtual cohort generation of aortic valve patients. Here we also discuss how clinical data is transformed into data that can be fed into our virtual cohort generator. This preliminary use case nicely demonstrates our approach but is not yet completely validated. However, it is already integrated into the Virtual Research Environment as a typical example. How integration is done will also be shown. Moreover, we present preliminary results on the geometric input definition of porcine pulmonary arteries.

SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices) has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578.