[Todos] charla "Dynamics of Nano Particles in Drug Delivery Simulations"
Esteban Mocskos
emocskos en dc.uba.ar
Lun Dic 29 19:16:55 ART 2008
El laboratorio de sistemas complejos (lsc.dc.uba.ar) tiene el agrado de
invitar al seminario especial "Dynamics of Nano Particles in Drug Delivery
Simulations" el día 30/12/2008 a las 15:00hs en el aula E-24 del pabellón 1
Será dictado por Dr Victor M. Calo, Visiting Fellow, Institute for
Computational Engineering and Sciences (ICES), University of Texas at Austin
(http://www.ices.utexas.edu/~victor) and Assistant Professor, Earth and
Environmental Science and Engineering, King Abdullah University of Science
and Technology (KAUST) and Assistant Professor, Applied Mathematics and
Computational Science, King Abdullah University of Science and Technology
(KAUST)
Abstract
=====
In the treatment and imaging of diseases, as such cancer and cardiovascular,
nano-sized delivery vehicles (particulate system) are emerging as powerful
tools. These are made up of a central core, carrying drug molecules or
imaging contrast agents, and an external coating with precise physicochemical
properties, and are injected within the blood stream at the systemic level.
The great advantage of particulate systems over freely administered molecules
is their “engineerability:” their size, shape and surface properties can be
optimized to increase the probability of reaching the desired biological
target. An “optimally” designed particulate system should be able to
navigate into the circulatory system, recognize preferentially the target
vasculature and there adhere firmly to the vessel walls resisting to the
hydrodynamic dislodging forces or, if sufficiently small, leave spontaneously
the vasculature and diffuse into the extravascular space. The dynamics of a
particulate system within the blood vessels, however, is not only influenced
by its intrinsic properties (size, shape and surface properties) but it is
also dramatically affected by (i) the hydrodynamic conditions at the
site of adhesion or extravasation, (ii) the authentic structure and (iii)
physiological properties of the vasculature and (iv) the rheology of blood.
Notably, the points (i)-(iv) are disease specific, patient specific and would
change over time as the disease progresses.
Recently, the Isogeometric Analysis concept has been extended to simulate
fluid-structure interaction problems with biomedical applications.
Isogeometric analysis encompasses and generalizes the finite element method,
simplifying mesh refinement and improving the functional representation of
the geometry and the solution. The increased geometrical flexibility obtained
with isogeometric methodology, as well as the smoothness of the geometrical
description, allows for the accurate representation of patient-specific
vascular geometries with fewer degrees of freedom. An efficient
parallel-solution strategy has been implemented and thoroughly tested in the
Texas Advanced Computing Center (TACC) high-performance computing systems.
This efficiency, combined with the robustness and accuracy of the numerical
procedures, permits the inclusion of several non-linear physical phenomena in
a single simulation framework. This combination has allowed more realistic
simulation of relevant biomedical problems, such as drug delivery [4], the
analysis of flow patterns in cerebral and abdominal aneurysms and the
growth-and-remodeling process by which healthy arterial-wall tissue
degenerates into an aneurysm.
A multiphysics mathematical model to simulate drug delivery in idealized and
patient- specific coronary arteries is presented. Blood is modeled as an
incompressible Navier- Stokes fluid, the arterial wall as a linear
poroelastic medium, and the drug transport is described by a scalar
advection-diffusion equation. The drug compound is released into the
bloodstream, carried by the flow, deposited onto the endothelium, penetrates
into the wall, and is transported within the arterial wall. NURBS-based
isogeometric analysis is employed to describe the geometry and discretize the
fluid-solid interaction equations. The aim of this work is to extend this
model to analyze (i) the distribution of particulate systems, treated as
diffusing/advecting scalars, within authentically complex (patient specific)
vascular systems; and (ii) their adhesive interaction with the walls of the
vessels. The effect of the permeability of the vessels to both the
particulate systems and the plasma will be addressed.
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