Home Department: Mathematics
Mentor: Jill Helms (Surgery - Plastic & Reconstructive Surgery)

“Machine Learning Algorithm to Predict Function of Transplanted Liver”

For patients with end-stage liver disease, liver transplantation is the only effective treatment. However, approximately 30% of patients die while waiting for a liver transplant. Compounding the scarcity of donor livers, up to 70% of such livers are discarded due to concerns of poor quality and organ failure following transplantation. By combining artificial intelligence technology with the Scientific Registry of Transplant Recipient data set, which provides recipient and donor characteristics together with transplant outcomes from 1988 to present, Ronny will develop an organ selection algorithm to optimize liver utilization and improve liver transplantation rates without compromising transplant outcomes.