The additional COVID-19 Lab that ARUP has reconstructed to help meet renewed demand performs automated COVID-19 testing by nucleic acid amplification on Roche instrumentation.
ARUP’s dedicated employees, including Brook Berger, a lab supervisor, make a difference in the lives of patients every day. A workplace culture that prioritizes patient care is among the strengths that landed ARUP on Forbes’ list of America’s Best Employers by State for 2021.
On a tour of ARUP’s state-of-the-art laboratory facility, Chief Operations Officer Jonathan Genzen, MD, PhD, explains to Rep. Burgess Owens, R-Utah, the role that automated sorters play in getting specimens through the laboratory to specific testing locations.
An ARUP employee reviews the result of a test to detect the presence of ova or parasites in a specimen. ARUP and Techcyte collaborated in 2019 to produce the world’s first artificial intelligence (AI)-enabled detection tool, which helps laboratorians quickly screen out negative results so they can spend more time analyzing slides that show positive results.
In a Clinical Laboratory News article he coauthored, ARUP Medical Director Brian Jackson, MD, describes how the COVID-19 pandemic has expanded access to testing services and created an opportunity for clinical laboratories to build on patient-centered lab stewardship.
Sean McGary wasn’t sure what kind of career he wanted when he started at ARUP in an entry-level position. He just needed a reliable schedule with a stable company. Since then, McGary has consistently moved up into positions with more responsibility and increased pay.
Students listen as automation engineer Darby Nelson (not pictured) shows how electricity and magnets can work together to levitate samples on these rectangular movers in order to avoid any friction, which decreases wear and tear on machinery.
ARUP experts evaluated an Emergency Use Authorization assay that detects SARS-CoV-2 neutralizing antibodies such as those pictured.
ARUP is using Deep Bio’s artificial intelligence-based software in research to evaluate how use of the software may aid in detection and classification of prostate cancer cells, such as the cells pictured here.
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