Predicting Primary Graft Dysfunction in Lung Transplantation: Machine Learning-Guided Biomarker Discovery
D. Nord, J. C. Brunson, L. Langerude, H. Moussa, B. Gill, T. Machuca, M. Rackauskas, A. K. Sharma, C. Lin, A. Emtiazjoo, C. Atkinson
This study uses machine learning to identify cytokines predictive of primary graft dysfunction in lung transplantation, finding BAL fluid at 2h post-transplant as the strongest predictor.
bioRxiv · May 24, 2024 · PreprintImmunology