Johane Bracamonte

This paper introduces a population-level emulator for Bayesian calibration of cardiac digital twins, reducing calibration time from 15 hours to under a minute per patient.

This paper uses a Bayesian network model to analyze how mechanical loading and hormonal changes contribute to eccentric hypertrophy in volume overload, showing neurohormonal responses drive growth rather than initial stretch.