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Blanco, P. J.

Publications and source records attributed to Blanco, P. J..

2 recordsLinked to original sources

Blood flow modeling under LVAD physiology. From global circulation to local hemodynamics

This document presents the modeling strategy to address the in-silico study of different LVAD patho-physiological scenarios. The proposed approach employs a closed-loop lumped-parameter compartmental representation of the global circulation in the cardiovascular system (CVS). The CVS is coupled to a HeartMate 3 LVAD, and different cardiovascular conditions are proposed by modification of model parameters. Once the simulation for these conditions are performed, the cardiac function is analyzed in detail, and the global circulation model delivers flow rate waveforms which are employed as boundary conditions in a 3D hemodynamic simulation. This local circulation model is built using a patient-specific geometry of the aortic arch, containing 7 inlet/outlet boundaries, namely: LVAD cannula, aortic root, left and right subclavian arteries, left and right common carotid arteries and thoracic aorta. This model is exploited to investigate the impact of global cardiovascular conditions in the local hemodynamic features, particularly the wall shear stress (WSS) in different spatial regions.

bioengineering↗

A modular and reusable model of epithelial transport in the proximal convoluted tubule

We review a collection of published renal epithelial transport models, from which we build a consistent and reusable mathematical model able to reproduce many observations and predictions from the literature. The flexible modular model we present here can be adapted to specific configurations of epithelial transport, and in this work we focus on transport in the proximal convoluted tubule of the renal nephron. Our mathematical model of the epithelial proximal convoluted tubule describes the cellular and subcellular mechanisms of the transporters, intracellular buffering, solute fluxes, and other processes. We provide free and open access to the Python implementation to ensure our multiscale proximal tubule model is accessible; enabling the reader to explore the model through setting their own simulations, reproducibility tests, and sensitivity analyses.

bioengineering↗