Abstract
Background and objectivesThis work aims to present the expert system EpAssistant, a platform algorithm designed to accurately and automatically identify the EPLETS specificities of anti-HLA (Human Leukocyte Antigen) antibodies in the sera of transplantation candidates. Materials and methodsThe algorithm was written in the Python™ language and, at this time, integrated with the EpViX system (www.epvix.com.br). EpAssistant uses JSON parameters of the Single-Antigen Bead (SAB) assays from both vendors, the patient's HLA typing and the Cut Off (CO) value as inputs. The outputs of the tool are the EPLETSS explaining the reactivity patterns of anti-HLA antibodies in the patient's serum. ResultsAs preliminary results, we present the development and establishment of the EpAssistant platform. EpAssistant analyses can be performed for Class I (−A, B and C) and Class II (−DR, −DQ and -DP) HLA molecules. ConclusionsEpAssistant automates the EPLETS reactivity analysis process and drastically reduces the time required to produce final results, enabling large-scale data analyses in a simple, inexpensive and rapid manner and facilitating the allocation of donated organs via the EPLETS Virtual Crossmatch (EVxM) system.
Published Version
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