As noted in JAMA Network Open, UT Southwestern researchers have developed a hybrid machine learning model to predict long-term lung transplant outcomes. Formulated after analysis of data from 51,000 patients, this new tool enables individualized risk assessment and better clinical decision-making, reinforcing UT Southwestern’s leadership in transplant innovation.