The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

G Coorey, GA Figtree, DF Fletcher, VJ Snelson… - NPJ digital …, 2022 - nature.com
Potential benefits of precision medicine in cardiovascular disease (CVD) include more
accurate phenoty** of individual patients with the same condition or presentation, using …

[HTML][HTML] Computational modelling and simulation of fluid structure interaction in aortic aneurysms: a systematic review and discussion of the clinical potential

A Mourato, R Valente, J Xavier, M Brito, S Avril… - Applied Sciences, 2022 - mdpi.com
Aortic aneurysm is a cardiovascular disease related to the alteration of the aortic tissue. It is
an important cause of death in developed countries, especially for older patients. The …

Using the non-adoption, abandonment, scale-up, spread, and sustainability (NASSS) framework to identify barriers and facilitators for the implementation of digital …

PD Winter, TJA Chico - Sensors, 2023 - mdpi.com
A digital twin is a computer-based “virtual” representation of a complex system, updated
using data from the “real” twin. Digital twins are established in product manufacturing …

[HTML][HTML] Impact of wall displacements on the large-scale flow coherence in ascending aorta

K Calò, K Capellini, G De Nisco, V Mazzi… - Journal of …, 2023 - Elsevier
In the context of aortic hemodynamics, uncertainties affecting blood flow simulations hamper
their translational potential as supportive technology in clinics. Computational fluid dynamics …

Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate

L Geronzi, A Martinez, M Rochette, K Yan… - Computers in Biology …, 2023 - Elsevier
Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this
study, we evaluate and compare the ability of local and global shape features to predict the …

Digital twins for cyber-biophysical systems: Challenges and lessons learned

I David, P Archambault, Q Wolak, CV Vu… - 2023 ACM/IEEE 26th …, 2023 - ieeexplore.ieee.org
Digital twinning is gaining popularity in domains outside of traditional engineered systems,
including cyber-physical systems (CPS) with biological modalities, or cyber-biophysical …

Machine learning-aided design optimization of a mechanical micromixer

FJ Granados-Ortiz, J Ortega-Casanova - Physics of Fluids, 2021 - pubs.aip.org
In real-life mechanical engineering applications, it is often complex to achieve an optimal
multi-objective design, because of the costs related to fabrication and test of different …

[HTML][HTML] Machine learning and reduced order modelling for the simulation of braided stent deployment

B Bisighini, M Aguirre, ME Biancolini… - Frontiers in …, 2023 - frontiersin.org
Endoluminal reconstruction using flow diverters represents a novel paradigm for the
minimally invasive treatment of intracranial aneurysms. The configuration assumed by these …

A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data

K Capellini, E Gasparotti, U Cella, E Costa… - Medical Engineering & …, 2021 - Elsevier
Numerical simulations to evaluate thoracic aortic hemodynamics include a computational
fluid dynamic (CFD) approach or fluid-structure interaction (FSI) approach. While CFD …

[HTML][HTML] The hemodynamic effect of modified blalock–taussig shunt morphologies: A computational analysis based on reduced order modeling

E Kardampiki, E Vignali, D Haxhiademi, D Federici… - Electronics, 2022 - mdpi.com
The Modified Blalock Taussig Shunt (MBTS) is one of the most common palliative operations
in case of cyanotic heart diseases. Thus far, the decision on the position, size, and geometry …