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Beyond eplet counts: machine learning integration of evolutionary distance and electrostatic divergence improves prediction of HLA-DQ donor-specific antibody formation after kidney transplantation

2026-07-22

Abstract excerpt

The emergence of donor-specific antibodies (DSA) against HLA-DQ reduces graft survival and limits future transplant options. Current practice predicts DSA development from HLA antigen mismatches or unique eplet counts (HLAMatchmaker), but predictive accuracy remains limited. Improving the prediction accuracy is crucial for solid organ transplants. We analysed a retrospective cohort of 240 kidney transplants (480 d...

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Literature Corpus work
9631b40d-fa91-547b-8074-256ca194a6f1
DOI
10.64898/2026.07.17.739230
Open publication

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Beyond eplet counts: machine learning integration of evolutionary distance and electrostatic divergence improves prediction of HLA-DQ donor-specific antibody formation after kidney transplantationDOI 10.64898/2026.07.17.739230
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