Researchers are exploring ways to predict and manage complications related to hematopoietic stem cell transplantation, including mortality risk and unplanned readmissions. Various factors, such as microbiota and machine learning models, are being studied as potential predictors of outcomes. The development of risk prediction models and assessment tools is also underway to improve survival outcome predictions for patients undergoing allogeneic stem cell transplantation.