Pioneering UHN research targets long-term complications of liver transplantation

On this episode of Behind the Breakthrough, Dr. Mamatha Bhat shares how she and her team of UHN researchers are leveraging artificial intelligence to help predict complications resulting in long-term outcomes for liver transplant patients. This novel, world-first approach has the ability to determine the personalized predictors of outcome for each patient – for example, increased risk of cancer, heart disease, and cardiovascular events are examples of what compromise long-term survival following transplantation, especially after the one year mark. This precision medicine approach can help identify which patients are at risk of which complications to help simulate diagnostic and therapeutic responses from a clinical practice perspective. Dr. Bhat speaks to the journey involved throughout the research process, as well as how she encourages future clinician-scientists to foster resiliency while engaging in their work as well as being opportunistic and creative.