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Quantum computing team including Sunho Park wins competitive award - VUMC News

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A team including Sunho Park, a Vanderbilt AI scientist, won a $12,500 NIH prize for quantum computing research in biomedical applications, part of a $100,000 challenge. Their project used quantum computing to analyze heart tissue and electrophysiological properties in vivo via existing imaging, demonstrating quantum’s potential in medical diagnostics. The work is advancing under Tae Hun Hwang’s Molecular AI Initiative at Vanderbilt, expanding into precision oncology, transplant immunology, and metabolic disease research. Hwang called it a catalyst for quantum-AI fusion in biomedicine, targeting molecular heterogeneity and predictive uncertainty as key barriers in complex biological systems. Vanderbilt’s initiative now leads in merging quantum computing, AI, and translational medicine, positioning it at the forefront of next-generation biomedical innovation.
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Share: Share on Facebook Share on Bsky Share on X Share on LinkedIn Share via Email Print: Print this article By: Tom Wilemon To explore the transformative potential of quantum computing in biomedical research, the National Institutes of Health Office of Data Science Strategy hosted an innovation lab that included a challenge prize competition. Teams competed for a share of $100,000. Sunho Park, PhD Sunho Park, PhD, an artificial intelligence scientist at Vanderbilt University Medical Center, was a part of a six-member team that received a $12,500 innovation prize.

The team’s work focused on determining tissue and electrophysiological properties of the heart in vivo based on existing imaging approaches using quantum computing. Park continues to work on this initiative in the lab of Tae Hun Hwang, PhD, professor of Surgery, founding director of the Molecular AI Initiative and director of AI Research in the Section of Surgical Sciences at VUMC. “This accomplishment has catalyzed a new research direction within the Molecular AI Initiative focused on quantum applications in biomedicine,” Hwang said. “While our initial emphasis is on precision oncology, we are now extending this framework to transplant immunology, metabolic disease and other complex biological systems where molecular heterogeneity and predictive uncertainty remain major barriers to progress. “Dr. Park’s success highlights how Vanderbilt’s Molecular AI Initiative continues to expand into emerging domains that fuse AI, quantum computing and translational medicine, positioning us at the leading age of next-generation biomedical innovation.

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