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 E-Mail Toronto (April 12, 2021) - Researchers from University Health Network have developed and validated an innovative deep learning model to predict a patient s long-term outcome after receiving a liver transplant. First of its kind in the field of Transplantation, this model is the result from a collaboration between the Ajmera Transplant Centre and Peter Munk Cardiac Centre. The study, published in Lancet Digital Health, shows it can significantly improve long-term survival and quality of life for liver transplant recipients. Historically, we have seen good advances in one-year post-transplant outcomes, but survival in the longer term hasn t significantly improved in the past decades, explains Dr. Mamatha Bhat, a hepatologist with the Ajmera Transplant Centre at UHN and co-senior author of the study.

United statesEmma kingBo wangUniversity health networkSenior public affairs advisorUniversity of torontoPublic affairsLancet digital healthMelanie munk charitable foundationToronto rehabilitation institutePeter munk cardiac centre ai fundCanadian liver foundationMichener institute of educationAmerican society of transplantationPrincess margaret cancer centreAjmera transplant centre