Abstract: Provided herein is a machine learning model to reconstitute T cell and B cell selections, and methods of use thereof. The methods provided herein include methods of prediction of the risk of developing an autoimmune disease or disorder, the risk of developing alloimmunity from organ or cellular transplant, the risk of developing graft-versus-host disease (GvHD) from organ or cellular transplant, the risk of developing alloimmunity from an adoptive T cell therapy, the risk of developing alloimmunity from a chimeric antigen receptor (CAR)-T cell therapy, and methods of prediction of the safety of an antibody drug in a subject. Also provided herein is a method of classifying T cell receptor p (TCRp) gene, and methods of use thereof. The methods provided include methods of determining an organ donor/organ recipient compatibility, methods of predicting graft versus host disease (GvHD) in a recipient, acute GvHD (aGvHD), chronic GvHD (cGvHD) and cancer relapse in a subject.