Recent efforts to ensure the reliability of computational model-based predictions in
healthcare, such as the ASME V&V40 Standard, emphasize the importance of uncertainty …

Computational modeling of cardiac electrophysiology (EP) has recently transitioned from a
scientific research tool to clinical applications. To ensure reliability of clinical or regulatory …

Introduction: Patient-specific computational models are a powerful tool for planning
cardiovascular interventions. However, the in vivo patient-specific mechanical properties of …

Background. Personalised computer models are increasingly used to diagnose cardiac
arrhythmias and tailor treatment. Patient-specific models of the left atrium are often derived …

Left ventricular assist device (LVAD) recently has been used in advanced heart failure (HF),
which supports a failing heart to meet blood circulation demand of the body. However, the …

Objectif: Le but de l'étude est d'identifier l'impact de la pandémie COVID-19 sur la relation
entre les facteurs d'incertitudes (volatilité des marchés boursiers-maladies infectieuses …

Computational modeling of the heart has contributed tremendously in quantitatively
understanding the cardiac functions, showing great potential to assist medical doctors in …

This paper presents an approach for efficient uncertainty analysis (UA) using an intrusive
generalized polynomial chaos (gPC) expansion. The key step of the gPC‐based uncertainty …

In HIV drug therapy, the high variability of CD 4+ T cells and viral loads brings uncertainty to
the determination of treatment options and the ultimate treatment efficacy, which may be the …

In silico methods can be used for an early assessment of arrhythmogenic properties of drug
candidates. However, their use for decision-making is conditioned by the possibility to …