Machine Learning Prognostic Model for Epstein-Barr Virus Reactivation after Haploidentical Hematopoietic Stem Cell Transplantation
In January 2023, a study led by Professor Xiao Jun Huang from Peking University People's Hospital was published in the international academic journal ——Blood Science . The title of the study is "Machine learning algorithm as a prognostic tool for Epstein-Barr virus reactivation after haploidentical hematopoietic stem cell transplantation". This study elucidates the machine learning algorithm-based model for predicting EBV reactivation after haploidentical HSCT demonstrates not only promising results but also a transformative potential for personalized post-transplant care.









