Probabilistic learning to perform pre-onset individualised prediction of disease severity: application to Veno Occlusive Disease
Researchers have developed a new probabilistic supervised learning method for predicting disease severity before onset. This approach models the relationship between pre-transplant variables and disease severity as a stochastic process. The model is illustrated by predicting the severity of Veno Occlusive Disease (VOD) in patients undergoing bone marrow transplants, enabling personalized treatment decisions. AI
IMPACT Enables earlier, personalized disease severity predictions to guide treatment decisions.