Scientific visualization (SciVis) is providing new insights in health care and many other research areas in ways that we couldn’t imagine a decade ago. It’s an evolving field where extracting visualizations from very large data sets can improve analysis, diagnosis and patient outcomes while reducing costs – or even uncover hidden discrimination. Hear from Teodora (Dora) Szasz of the University of Chicago and Donna Nemshick of Intel on how SciVis can be transformative in areas such as understanding a billion simulated cells for tumors, creating the Covid-19 model, pioneering medical care, and even studying images in children’s books for gender inequality.
Listen in. [25:51]

Guests:
Teodora (Dora) Szasz, computational scientist, Research Computing Center of University of Chicago

Donna Nemshick, performance validation lead, Intel Advanced Rendering & Visualization Architecture Group

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Intel oneAPI Rendering Toolkit | Free Download | Innovative Usages Video

University of Chicago Research Computing Center

University of Chicago Visualization Laboratory

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Tags: COVID-19, gender bias, Intel oneAPI Rendering Toolkit, oneAPI, oxygenation helmet, ray tracing, rendering, scientific visualization, scivis, simulation, tumors, University of Chicago, visualization
 
Posted in: Audio Podcast, Code Together, Healthcare, Intel