Office of Commercialization and Economic Development
Office of Technology Commercialization

Enhanced Virtual Crossmatch

Technology #20-0038

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Researchers
Eric Weimer
Managed By
Peter Liao
Commercialization Manager 919.843.5028
Patent Protection
Provisional Patent Application Filed

In the field of organ transplant matching, UNC has developed algorithms using data-driven mathematical models to predict flow cytometric crossmatch outcomes. If the virtual crossmatch is determined to be likely positive, indicating likely reactivity between recipient and donor, the organ offer is typically declined and issued to another potential recipient. This process is lengthy and delays the overall transplant. These new algorithms project to (1) increase accuracy, from 75-85% to 97% and (2) speed up the process without human bias or intervention. 

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