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DTSTAMP:20260422T000712Z
LOCATION:Mile High Ballroom
DTSTART;TZID=America/Denver:20231115T141500
DTEND;TZID=America/Denver:20231115T150000
UID:submissions.supercomputing.org_SC23_sess207_inv108@linklings.com
SUMMARY:Unlocking Potential: The Role of HPC in Computational Medicine
DESCRIPTION:Amanda Randles (Duke University)\n\nThe utilization of vascula
 r digital twins has gained significant traction in the field of medicine, 
 holding immense potential for transforming healthcare practices. These adv
 anced models enable the creation of patient-specific replicas of vascular 
 systems, facilitating precise measurements of blood flow conditions. Vascu
 lar digital twins provide a non-invasive solution for assessing stenosis s
 everity, guiding treatment decisions, and optimizing surgical planning. Me
 dical professionals can enhance their expertise and refine approaches with
  precision and confidence by performing virtual surgery and evaluating int
 erventions beforehand. However, the development and deployment of vascular
  digital twins pose notable challenges, particularly in terms of data size
 , time-to-solution, and computational cost. Constructing a realistic model
  of human blood flow entails complex mathematical and computational tasks,
  incorporating fluid dynamics, intricate vessel geometry, pulse-driven flo
 w and pressure changes, and the behavior of red blood cells. Furthermore, 
 the seamless integration of personalized models with streaming wearable da
 ta for holistic patient views and virtual reality interfaces for intuitive
  interaction by clinicians and researchers presents additional hurdles. In
  this presentation, I will discuss the role of high performance computing 
 in advancing the fidelity and use of personalized computational models.\n\
 nTag: Applications, Biology, Medicine\n\nRegistration Category: Tech Progr
 am Reg Pass\n\nSession Chair: Damian Rouson (Lawrence Berkeley National La
 boratory (LBNL), Sourcery Institute)\n\n
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