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University of Utah

ARUP Labs Wins Redtail AI Supercomputer Access for Cancer Diagnostics

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ARUP Labs Wins Redtail AI Supercomputer Access for Cancer Diagnostics

Salt Lake City – October 06, 2026 -- ARUP Laboratories has secured a spot in the second cohort of challenge projects on Utah's Redtail AI Factory, gaining access to a supercomputer ranked No. 159 globally to accelerate a proprietary diagnostic AI model for blood cancer detection.

ARUP's EventHorizon model targets faster, more accurate blood cancer diagnosis

The project, titled "Scaling EventHorizon with Redtail: A Foundation Model for Clinical Flow Cytometry," aims to build a foundation model that helps pathologists interpret complex flow cytometry data used to diagnose blood cancers and other hematologic diseases. The tool is being developed by a team at the ARUP Institute for Research and Innovation in Diagnostic and Precision Medicine, including David Ng, MD, FCAP, and research data scientists Muir Morrison and Mattia Medina Grespan.