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NIH Pumps $3.6M into Cardiovascular Research at Stony Brook University
The National Institute of Health (NIH) has awarded a team of scientists led by Danny
Bluestein (Principal Investigator), Professor of Biomedical Engineering at Stony Brook
University, funding to conduct multi-scale simulations of cardiovascular processes.
Work on the project will be carried out concurrently by Yuefan Deng (Co-Investigator),
of Stony Brook’s Department
of Applied Mathematics and Statistics, as well as Marvin Slepian (Co-Investigator),
of the Sarver Heart Center at the University of Arizona.
The grant is marked by its interdisciplinary nature, combining techniques and approaches
from computational modeling, engineering, and clinical biology and uses some of the
largest domestic and international High Performance Computing (HPC) resources in the
world. It is also distinguished by its funding amount at roughly $3.6 million total,
with over $3 million awarded to Stony Brook researchers.
According to CEAS Dean Fotis Sotiropoulos, "This exciting project highlights the power
of cross-disciplinary collaboration between biomedical engineers, computational scientists
and clinicians and exemplifies the tremendous impact simulation-based engineering
science can make in clinical practice. It is research of this caliber that has set
our college at the leading edge of engineering-driven medicine."
The project aims to investigate issues relating to blood flow and platelet mediated
thrombosis; major causes of cardiovascular disease, which remains the leading cause
of death in the developed world. Because the cardiovascular system is so complex,
modeling these features requires overcoming unique computational difficulties, as
Dr. Bluestein explains:
“Elucidation of the complex interactions between living tissues and mechanical stimuli,
as represented by the vexing problem of blood flow and platelet mediated thrombosis,
poses a major computational challenge. It covers a vast range of scales- from the
macro-scales of blood flow in big arteries and cardiovascular device, to the molecular
micro to nano scales of blood clotting. To address this challenge, this project aims
to develop a computationally efficient multi-scale model of blood flow and platelet
mediated thrombosis using cutting edge molecular dynamics (MD) and dissipative particle
dynamics (DPD) numerical approaches.”
The methodology developed for this project departs from the traditional continuum
based numerical approaches, representing a paradigm shift in the burgeoning field
of multi-scale simulations and its application to solving complex clinical problems
at the interface of engineering and biology. By adopting quantitative reasoning for
solving these problems as an alternative to using the existing empirics-based treatments,
this will further advance, refine and transform the methodologies of biomedical research
towards precision medicine.
About the Researchers
Danny Bluestein received his PhD in Mechanical and Biomedical Engineering in 1992,
at Tel Aviv University. Before joining Stony Brook University in1996, he was Assistant Professor of Biomedical Engineering at the University of Miami.
Bluestein’s primary research interests include bio-fluids, cardiovascular pathologies,
and the intersections thereof.
Yuefan Deng is Professor of Applied Mathematics at Stony Brook University, where he
is also an affiliate member of the Institute of Advanced Computational Sciences. Since
receiving his PhD from Columbia University in 1989, he has worked extensively in Parallel
Computing, Molecular Dynamics, and Computational Biology.
Marvin J. Slepian is Professor of Medicine (Cardiology) and BioMedical Engineering
at the University of Arizona and McGuire Scholar in the Eller College of Management,
also at Arizona. He is Founder and Chief Scientific Officer of SynCardia, a company
specializing in the production and maintenance of artificial hearts.