Projects

This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT ...

FAIR4Health is a Horizon 2020 project which aims to FAIRify medical datasets.

The aim of oBIG is to establish modern genome bioinformatics in Armenia to investigate genesis and progression of complex diseases. Therefore we will extend the collaboration between the Interdisciplinary Center for Bioinformatics (IZBI) of Leipzig University and the Institute of Molecular Biology (IMB) in Yerevan, Armenia, to accomplish three main aspects of the project:Firstly, current research topics in systems biology of cancer, lung diseases and infections will be addressed by a joint team ...

The vision of Immune Safety Avatar (imSAVAR) is to develop a platform for integrated nonclinical assessments of immunomodulatory therapy safety and efficacy.The imSAVAR is an Innovative Medicines Initiative funded project that aims to develop a standard for integrated nonclinical safety overviews for immune-modulatory investigational new drugs (IND) and clinical trial applications (CTA).Our imSAVAR platform will improve the prediction of the transferability of safety and efficacy of immunomodulators ...

Analysis of the humoral response against HLA alloantigens is performed using museal methods. With the use of AI we aim to predict deleterious antibody production avoiding allograft deterioration and graft loss.

The aim of this project is to validate and improve an in vitro test system developed in a previous project for the prediction of hepatotoxicity induced by chemical substances and drugs. For this purpose, the test system will be supplemented with immunological cells in order to be able to detect idiosyncratic reactions. In the subproject of the working group of Prof. Daniel Seehofer and Dr. Georg Damm, primary liver cells will be provided and the in vitro model will be improved by Kupffer cells.

Aim of the project group "Management of health information systems" is to contribute to a better health care by developing new methods and tools to support the information management.

The project is also known as: MIG - Management von Informationssystemen im Gesundheitswesen