Clinical Reasoning and Clinical Data Intelligence: AI-based prognosis and therapy decisions using NGS-supported microbiom, donor and recipient sequencing for stem cell transplants
In the field of biomedicine, methods for predicting the chances of success and complications of bone marrow transplants (Clinical Reasoning/Data Intelligence) are to be developed, which can support doctors in therapy decisions.
The translational project will focus on patients with hematological neoplasia who are receiving a myeloablative high-dose therapy with allogeneic blood stem cell transplantation with curative intention. The main focus of the project is the combination and analysis of results obtained by established laboratory chemical, immunocytological and molecular biological methods as well as by comprehensive and novel Next Generation Sequencing (NGS) technology in order to develop algorithms for these data that allow an estimation of the risk for Graft-Versus-Host-Disease (GVHD). In the sense of a comprehensive systems biology approach, a large number of laboratory and clinical parameters of the patients concerned are determined in short time intervals - for individual parameters in a 24-hour interval - which reflect in particular the different organ functions and their disorders.