Projects

​​Our Department is involved in several research projects which we perform together with partners at the University Medical Center Leipzig, in Germany, and on international level. You will find an overview below.

Smart Medical Technology for Healthcare

​Smart Medical Technology for Healthcare (01.2018 – 12.2022)

With the aim of improving the care of patients, the SMITH (Smart Medical Technology for Healthcare) project processes and harmonises the care data generated in various university hospitals and makes it available for dedicated analysis projects. For this purpose, corresponding infrastructures are being developed and established in the project, which are operated by data integration centers as organizational unit of University Medical Centers. At the same time they drives agreements between the university hospitals so that a common way can be found for structuring and describing medical data as well as regarding the access rules.

SMITH is a scientific project funded by the Federal Ministry of Education and Research. Further information can be found here​.

FAIR Data Spaces

FAIR Data Spaces (05/2021 – 04/2024)

The FAIR Data Spaces project aims to build a common cloud-based data space for business and science by merging the two initiatives Gaia-X and NFDI. "FAIR" stands for guiding principles for the responsible management of research data - these should be findable, accessible, interoperable and reusable (Wilkinson et al. 2016).

Gaia-X is a federated and secure data infrastructure for Europe. Its development is coordinated by the non-profit Gaia-X European Association for Data and Cloud, with over 300 members so far, mostly companies. The National Research Data Infrastructure (NFDI ) for the German German science system is being set up under the coordination of the NFDI Association by - in the final stage - around 30 consortia, most of which involve universities and research institutes.

FAIR DS is a scientific project funded by the Federal Ministry of Education and Research. An official press release is available here​.

LEUKO-Expert

LEUKO-Expert (10/2020 – 09/2023)

Rare diseases (RD) occur with a prevalence of less than 1:2,000 persons (EU definition). More than 8,000 RD are known, often genetically determined. Due to their rare occurrence, the RD are often not diagnosed at all, incorrectly or with a long delay diagnosed. Medical experts are mainly involved in selected Centers for Rare Diseases available.

The goal of the LEUKO-Expert project is to establish an expert system for the diagnostic support of RD Leukodystrophy and to evaluate it within the scope of a proof-of-concept. The expert system will use a model created with modern data science methods, such as from the machine learning domain. The model will be generated by using clinical, image data (magnetic resonance imaging [MRI]) and genetic data. Such data are available at Centre for Rare Diseases in Aachen, Leipzig, and Tübingen.

LEUKO-Expert is a research project funded by the German Ministry of Health. Further information can be found here​.

NFDI4Health

NFDI4Health (10/2020 – 09/2025)

There is a large number of clinical trials, epidemiological studies and other medical research projects each year which collect data about probands and patients, their diagnoses and therapies, and their environment according to a relevant research question. While the outcome of these research projects is often published, there is, however, no common way to publish metadata and data. Sometimes, metadata and data are not managed by a common format, such as Object Data Model or other available standards. Therefore, such data are often not findable, accessible, interoperable, and reusable. These FAIR criteria are immanent important making the research outcome transparent and reusable which is beneficial for medical research.

The goal of NFDI4Health is overcome these burdens by designing and implementing a concept for a federated research data infrastructure for personal health data. This work includes a common data structure for all this data, the federated data infrastructure itself, data protected / data privacy, and distributed analysis infrastructures allowing to include and compute the distributed data. We will show the functionality of all these aspects using a series of use cases.

NFDI4Health is a research project funded by the German Research Foundation (DFG). Further information can be found here​.​


Leipzig Health Atlas

Leipzig Health Atlas (03/2016 – 12/2021)

Leipzig Health Atlas (LHA) is a BMBF funded project to develop and deploy an ontology based online platform to manage publications together with publication data as well as well comprehensive models and method implementations. We collect study and publication data which can be retrieved on request as a first step in reproducible research. For many models, we provide implementations which can be used by clinicians, statisticians, other scientists or simply people with interest in it.

The LHA is research project funded by the German Ministry of Education and Research. The Leipzig Health Atlas is available here​.​


PAREMIS

PAREMIS (09/2017 – 05/2018)

PAREMIS was a BMBF funded project in which we designed a concept for model-based registries for clinical research. In particular, we developed a concept for rare diseases including Prader-Willi and Angelman Syndrome and others. PAREMIS was a cooperation between the Leipzig University (IMISE, LIFE), the University medical Center Leipzig (UZSE, IT-Management) and the Institute for Digital Information Technologies (IfDT).

PAREMIS was research project funded by the  German Ministry of Education and Research.​



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