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Personalisierte Medizin: Effektiv durch Künstliche Intelligenz in der Transplantationsmedizin – Neue Vorhersagemodelle für Krankheitsverläufe

Pressemitteilung 05.03.2019

Presentation of XplOit project results at 45th Annual Meeting of the European Society for Blood and Marrow Transplantation (EBMT)


Forum Messe Frankfurt

Level C, Room „Kolleg“

Ludwig-Erhard-Anlage 1

60327 Frankfurt am Main, Germany


25th March 2019 14:30 – 15:45


The application of mathematical models to hematopoietic cell transplantation (HCT) as an emerging research field

Predictive models applied from bench to bedside can support physicians to tailor interventions and treatments to their individual patients based on their predicted response and risk of disease and help in this way to put personalized medicine into practice.

However, to develop such predictive models it is necessary to collect, integrate and harmonize high amounts of heterogeneous retrospective medical data, analyse them, build and train models respectively and validate them with prospective HSCT patient data.

The German research project XplOit ( aims to develop new predictive instruments for HCT with the help of a novel data management platform that facilitates the sharing of clinical data for modelling research as well as the validation and use of such models in clinical practice. The newly developed models intend to respond to key challenges in HCT such as immune dysfunction after transplantation with its severe complications like viral infections, graft versus host disease (GvHD) and relapse.

This workshop will present first results of the on-going XplOit project and demonstrate the XplOit platform with its predictive HCT models and the data integration technologies to interested stakeholders. Interested transplant centers are invited to join the initiative.