Building Digital Twins for Cardiovascular Health: from principles to clinical impact

K Sel, D Osman, F Zare… - Journal of the …, 2024 - ahajournals.org
The past several decades have seen rapid advances in diagnosis and treatment of
cardiovascular diseases and stroke, enabled by technological breakthroughs in imaging …

Cardiovascular models for personalised medicine: Where now and where next?

DR Hose, PV Lawford, W Huberts, LR Hellevik… - Medical engineering & …, 2019 - Elsevier
The aim of this position paper is to provide a brief overview of the current status of
cardiovascular modelling and of the processes required and some of the challenges to be …

Inverse problems in blood flow modeling: A review

D Nolte, C Bertoglio - International journal for numerical …, 2022 - Wiley Online Library
Mathematical and computational modeling of the cardiovascular system is increasingly
providing non‐invasive alternatives to traditional invasive clinical procedures. Moreover, it …

Computational modeling of ventricular-ventricular interactions suggest a role in clinical conditions involving heart failure

SM Kim, EB Randall, F Jezek, DA Beard… - Frontiers in …, 2023 - frontiersin.org
Introduction: The left (LV) and right (RV) ventricles are linked biologically, hemodynamically,
and mechanically, a phenomenon known as ventricular interdependence. While LV function …

[HTML][HTML] Parameter estimation for closed-loop lumped parameter models of the systemic circulation using synthetic data

NL Bjørdalsbakke, JT Sturdy, DR Hose… - Mathematical …, 2022 - Elsevier
Physics-based models can be applied to describe mechanisms in both health and disease,
which has the potential to accelerate the development of personalized medicine. The aim of …

[HTML][HTML] Bridging the gap between measurements and modelling: a cardiovascular functional avatar

B Casas, J Lantz, F Viola, G Cedersund, AF Bolger… - Scientific reports, 2017 - nature.com
Lumped parameter models of the cardiovascular system have the potential to assist
researchers and clinicians to better understand cardiovascular function. The value of such …

Kinetic scheme for arterial and venous blood flow, and application to partial hepatectomy modeling

C Audebert, P Bucur, M Bekheit, E Vibert… - Computer Methods in …, 2017 - Elsevier
The article introduces a kinetic scheme to solve the 1D Euler equations of hemodynamics,
and presents comparisons of a closed-loop 1D–0D model with real measurements obtained …

A method of parameter estimation for cardiovascular hemodynamics based on deep learning and its application to personalize a reduced‐order model

Y Zhou, Y He, J Wu, C Cui, M Chen… - International Journal for …, 2022 - Wiley Online Library
Precise model personalization is a key step towards the application of cardiovascular
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …

Object‐Oriented Lumped‐Parameter Modeling of the Cardiovascular System for Physiological and Pathophysiological Conditions

L Rosalia, C Ozturk, D Van Story… - Advanced theory …, 2021 - Wiley Online Library
In this work, a lumped‐parameter Windkessel model of the cardiovascular system that
simulates biomechanical parameters of the human physiology is presented. The object …

[HTML][HTML] Personalised parameter estimation of the cardiovascular system: Leveraging data assimilation and sensitivity analysis

H Saxton, T Schenkel, I Halliday, X Xu - Journal of Computational Science, 2023 - Elsevier
Detailed models of dynamical systems used in the life sciences may include hundreds of
state variables and many input parameters, often with physical meanings. Therefore …