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@@ -51,6 +51,11 @@ <h2>Overview</h2>
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<td><b>Title</b></td>
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<td><b>Date</b></td>
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</tr>
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<tr>
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<td>Maxwell Cole</td>
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<td><a href="#fy267">First digital biophysical model of the entire human cardiovascular system</a></td>
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<td>08/27/2025</td>
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</tr>
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<tr>
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<td>Michael L Norman </td>
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<td><a href="#fy266">Introducing Enzo-E, an extreme scale AMR radiation hydrodynamic cosmology code built on Charm++</a></td>
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</table>
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<h2>Talks</h2>
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<div id="fy267"></div>
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<h3>First digital biophysical model of the entire human cardiovascular system</h3>
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Speaker: Maxwell Cole<br>
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University of California, San Diego<br><br>
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Abstract:
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<p>
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Cardiovascular disease is the leading cause of death worldwide. While substantial progress
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has been made in understanding and managing these diseases, current strategies have not
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been sufficient to reverse increasing incidence and burden. A potential research solution is
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the cardiovascular digital twin, a virtual replica of the human circulatory system. However,
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a digital twin of the entire human vasculature has never been accomplished due to the large
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computational costs. The goal of this work was to determine the feasibility of a CVDT that
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includes modeling all vessels in the human body, including physiologically-relevant biophysical
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mechanisms. We used a fractal algorithm to generate all 34 billion blood vessels of the
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human body, and calculated the time-dependent blood flow using an integrated heart model.
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We included nitric-oxide-mediated vasodilation, as well as vessel deformation and rupture
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using peridynamics. To test the computational feasibility, we determined the complexity,
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parallel scalability, and the amount of resources required, including execution time, memory
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usage, and floating-point operations. We found the CVDT to be computationally feasible,
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with all simulations requiring fewer than 30 minutes of wall-clock time. With further computational
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optimizations and biophysical improvements, this model has potential to shift
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the change the paradigm of cardiovascular research and patient care.
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</p>
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Bio:
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<p>
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Dr. Maxwell Cole recently earned his Ph.D. in physics from Louisiana State University,
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where he worked on developing the first digital twin of the entire human cardiovascular
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system. His research utilized high-performance computing to simulate biophysical processes
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at a systemic scale, aiming to create new computational tools that illuminate how diseases
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develop and localize in the body. Dr. Cole is now a medical physics resident at the University
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of California, San Diego, leveraging physics to advance patient care through improved
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prevention, diagnosis, and treatment.
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</p>
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<div id="fy266"></div>
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<h3>Introducing Enzo-E, an extreme scale AMR radiation hydrodynamic cosmology code built on Charm++</h3>
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Speaker: Michael L Norman<br>
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<div id="fy262"></div>
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<h3>Shedding Light on Interaction Binaries: Radiation Hydrodynamics with Octo-Tiger</h3>
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Speaker: Dominic Marcello<br>
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Speaker: Dominic Marcello <a href="https://www.linkedin.com/in/dominic-marcello-71381718b/"><i class="fa fa-linkedin-square" style="font-size:18px"></i></a><br>
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Center for Computation & Technology<br>
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Louisiana State University<br><br>
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