Manuel Teixeira Cabeleira

Neural Network Guided Calibration for Fast Virtual Twin Generation in Cardiovascular ODE Models

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.

A Physiologically Constrained Calibration Framework for Cardiovascular Models applied in Paediatric Sepsis

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

Comparing physiological impacts of positive pressure ventilation versus self-breathing via a versatile cardiopulmonary model incorporating a novel alveoli opening mechanism