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Updated: May 24, 2025

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机器学习增强了对固体器官移植的免疫风险评估.

Eric T Weimer1, Katherine A Newhall2

  • 1Department of Pathology and Laboratory Medicine, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA. eric.weimer@med.unc.edu.

Scientific reports
|March 6, 2025
PubMed
概括

机器学习模型通过分析人类白细胞抗原 (HLA) 的等位基因和抗体,准确地预测固体器官移植的兼容性. 这增强了个性化的组织相容性风险评估,以获得更好的患者结果.

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