Highly integrated workflows for exploring cardiovascular conditions: Exemplars of precision medicine in Alzheimer’s disease and aortic dissection.

Highly integrated workflows for exploring cardiovascular conditions: Exemplars of precision medicine in Alzheimer’s disease and aortic dissection.

Publication date: Nov 27, 2019

For precision medicine to be implemented through the lens of in silico technology, it is imperative that biophysical research workflows offer insight into treatments that are specific to a particular illness and to a particular subject. The boundaries of precision medicine can be extended using multiscale, biophysics-centred workflows that consider the fundamental underpinnings of the constituents of cells and tissues and their dynamic environments. Utilising numerical techniques that can capture the broad spectrum of biological flows within complex, deformable and permeable organs and tissues is of paramount importance when considering the core prerequisites of any state-of-the-art precision medicine pipeline. In this work, a succinct breakdown of two precision medicine pipelines developed within two Virtual Physiological Human (VPH) projects are given. The first workflow is targeted on the trajectory of Alzheimer’s Disease, and caters for novel hypothesis testing through a multicompartmental poroelastic model which is integrated with a high throughput imaging workflow and subject-specific blood flow variability model. The second workflow gives rise to the patient specific exploration of Aortic Dissections via a multi-scale and compliant model, harnessing imaging, computational fluid-dynamics (CFD) and dynamic boundary conditions. Results relating to the first workflow include some core outputs of the multiporoelastic modelling framework, and the representation of peri-arterial swelling and peri-venous drainage solution fields. The latter solution fields were statistically analysed for a cohort of thirty-five subjects (stratified with respect to disease status, gender and activity level). The second workflow allowed for a better understanding of complex aortic dissection cases utilising both a rigid-wall model informed by minimal and clinically common datasets as well as a moving-wall model informed by rich datasets.

Vardakis, J.C., Bonfanti, M., Franzetti, G., Guo, L., Lassila, T., Mitolo, M., Hoz de Vila, M., Greenwood, J.P., Maritati, G., Chou, D., Taylor, Z.A., Venneri, A., Homer-Vanniasinkam, S., Balabani, S., Frangi, A.F., Ventikos, Y., and , Diaz-Zuccarini. Highly integrated workflows for exploring cardiovascular conditions: Exemplars of precision medicine in Alzheimer’s disease and aortic dissection. 05882. 2019 Morphologie.

Concepts Keywords
Alzheimer RTT
Aortic Dissection Aortic dissection
Biophysics Articles
Blood Flow Vascular surgery
Boundary Conditions IgG4-related disease
Cardiovascular Medicine
Cohort Medical specialties
Computational Fluid Dynamics Drainage
Gender Illness
Hypothesis Testing Disease
Imperative Lens silico technology
Lens VPH
Pipeline Workflow
Spectrum Lens silico technology
Throughput Fluid dynamics
Workflow

Semantics

Type Source Name
disease MESH aortic dissection
disease MESH multi
drug DRUGBANK Tropicamide
disease MESH Dementia
drug DRUGBANK Diethylstilbestrol
disease MESH Multiple

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