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 United States, there are approximately 110,000 people in need of a kidney transplant, 13 of which die every day before finding a donor match. Successful transplantation, particularly of kidneys, is contingent on the compatibility of donor antigens and the recipient’s antibodies. Current methods for determining compatibility via a crossmatch is quite cumbersome and dependent on the laboratory, evaluator, and previous transplant center experience to yield an accuracy of just 70-85%. UNC has streamlined this process by employing 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. Expediting improved virtual recipient and donor compatibility assessments are even more pertinent now, than ever, due to the current COVID-19 pandemic resulting in a number of complications for the organ matching process. These new algorithms project to (1) increase accuracy to 97%, correlating to lower cold ischemic time per organ offer and (2) speed up the evaluation process without human bias or intervention, all while (3) improving accessibility for attending physicians with an intuitive app.  

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