Nicholas Charles Ovenden

This paper uses a neural network to rapidly calibrate a cardiovascular ODE model for virtual twin generation, showing it can achieve accurate results while being computationally efficient.

This paper introduces EGD, a calibration framework for cardiovascular models that generates virtual paediatric populations with accurate haemodynamic parameters and identifies infeasible target combinations.