Researchers from HSDSLab, József Pintér and Roland Molontay, in collaboration with Kristóf Prószéky and experts from the Centre for Translational Medicine in Pécs and Budapest, developed two machine learning models to assess the risk of in-hospital mortality in patients admitted with overt gastrointestinal bleeding. The analysis is based on data from the prospective, multicenter Hungarian GIB Registry.

The full paper can be read here: https://www.nature.com/articles/s41598-025-90986-1