About
Timothy Pruett, MD is a Professor of Surgery and Internal Medicine at the University of Minnesota, specializing in the Division of Transplantation. His clinical and research work spans liver, kidney, and islet transplantation with expertise in organ preservation, biopreservation, and machine learning applications for improving transplant outcomes and allocation systems.
His research addresses frailty assessment in transplant candidates using CT-derived body composition metrics, predictive modeling for liver disease progression (including the 'MELDPredict' tool), and ethical governance frameworks for emerging biopreservation technologies. He investigates immunosuppression minimization strategies, donor data analysis through AI, and the impact of sarcopenia on post-transplant recovery.
Recent 2025 publications demonstrate heavy integration of artificial intelligence in transplantation medicine, featuring tools for donor allocation, biopreservation advancements, and policy analysis. Key themes include deep learning for sarcopenia assessment, ethical considerations in organ allocation, and HIV-related transplantation challenges, reflecting his dual focus on technological innovation and systemic policy reform.
Dr. Pruett leads the multicenter Prospective Observational Study of TPIAT (POST) consortium and collaborates with interdisciplinary teams across surgery, internal medicine, and data science to enhance transplantation practices and patient quality of life.
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