Graft-versus-host disease articles from across Nature Portfolio

Acute GVHD severity grading is based on target organ assessments. Here, the authors show that data-driven grading can identify 12 distinct grades with specific aGVHD phenotypes, which are associated with clinical outcomes, and that their method outperformed conventional gradings.

Jo et al. establish a convolutional neural network-based model to predict acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation. The model both predicts aGVHD and identifies pre-transplant parameters that increase risk of aGVHD.