Artificial intelligence could help prevent transplant complications by personalizing drug dosing

This study aims to develop an artificial intelligence tool that helps doctors choose the right dose of cyclosporine for patients who have received a bone marrow transplant. Cyclosporine is used to prevent graft-versus-host disease, a serious complication where donor cells attack the patient's body. The tool combines information about how the drug behaves in the body with machine learning and deep learning techniques to predict the best dose using minimal blood samples. The goal is to make dosing more personalized and practical for everyday clinical care.