Pim J. A. Oomen

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 study calibrates reduced-order cardiovascular models using healthy male and female cohorts to establish sex-specific parameter ranges for more inclusive cardiovascular simulations.

This paper develops a multiscale computational model to simulate cardiopulmonary effects of postnatal hyperoxia in rats, showing agreement with experimental data and capturing abnormalities seen in preterm humans.

The paper develops a logic-based systems biology model of cardiac hypertrophy incorporating sex hormones and validates it to show testosterone has a greater impact on hypertrophy than estradiol.

This paper presents a computational model of hemodynamics during atrial fibrillation that fits clinical data from 17 patients, achieving high accuracy in blood pressure and ejection fraction measurements.

This study develops a computational framework combining biophysics and machine learning to predict cardiac growth probability, validated using canine MVR data.