Institute of Medical Biometry and Statistics (IMBI)

Currently we are working on three third-party funded projects:

MIRACUM - Medical Informatics in Research and Care in University Medicine

Currently MIRACUM is our biggest project. Within the scope of the Medical Informatics Initiative of the federal government the bid of the MIRACUM Consortium under the direction of the University Erlangen-Nuremberg was successful. This big, interdisciplinary project aims to combine data from patient care and research and make them available for further research and treatment-related decision making and will run from January 2018 until the end of 2021.

Additional information about MIRACUM

CALM-QE: COPD and asthma: longitudinal and cross-sectoral real-world data for machine learning application for quality improvement and knowledge acquisition

CALM-QE is a project within the Medical Informatics Initiative (MII) funded by the German Federal Ministry of Education and Research (BMBF). It builds on the achievements of MIRACUM's Use Case 2 from the first funding period of the MII. The goal is to use health care data for research on COPD and asthma, following data protection regulations, to create personalized diagnostics and therapy recommendations and identify individual risk factors. Machine learning will be used to identify complex patterns, enabling more precise endo- and phenotyping of COPD and asthma patients, improving patient care and prognosis.

Further information:

https://www.calm-qe.com

EVA4MII: EVAluation research based on data from routine clinical care 4 the MII

In collaboration with the university hospitals of Jena and Würzburg, the EVA4MII project focuses on establishing an advisory platform for evaluation research based on routinely collected clinical data from the Medical Informatics Initiative (MII). The project started in April 2023 and will be funded until March 2027.

Further information:

https://www.medizininformatik-initiative.de/en/eva4mii

PrivateAIM: Privacy-preserving Analytics in Medicine

The project "PrivateAIM: Privacy-preserving Analytics in Medicine" is an initiative aimed at developing a federated platform for machine learning and data analysis. Running from April 2023 to March 2027, it is a collaborative effort of several partners, including the University Hospital Freiburg (UKFR), with the goal of bringing the analyses to the data rather than bringing the data to the analyses.

Further information:

https://privateaim.de/eng/