Supercomputing Cancer Diagnostics with CyVerse
by Rich Brueckner from Inside HPC & AI News | High-Performance Computing & Artificial Intelligence on (#1Y3SV)

Adam Buntzman and his colleagues at the University of Arizona recently developed a tool that uses CyVerse supercomputing resources to create the first nearly comprehensive map of the human immunome, all the possible immune receptors our bodies can make. "When people go to a clinic, it's usually because they're already sick," Buntzman said. "If doctors could detect cancerous cells before they grow drastically out of proportion to healthy cells, patients would have much higher odds of successful cancer treatment and survival."
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