The Department of Medical Bioinformatics is involved in a large number of research projects.
On the following pages you see a current overview. Questions regarding the research activities of our department can be directed to research@bioinf.med.uni-goettingen.de at any time.
Performing a comprehensive characterization of the tissue micro- and mycobiome of young CRC patients, identifying the oncogenic microbiome signature and understanding its influence on oncogenic signaling resulting in tumor development and progression.
This project develops the hardware and image analysis software for an automated bubble sweat test diagnostics system developed with partners from the MHH in Hannover.
This project develops a generic software platform / toolbox to handle and annotate chemical structure libraries in a way that clinical researchers can organize chemical structures annotating a biological system.
We aim at developing a usable common standard for the required experiments, the automated analysis via software and providing the experimental hardware setups for an easy dissemination of the technique to other sites.
Our aimis to define the immunological, glial and neuronal checkpoints that faithfully predict the outcome of CNS injuries, and to develop intervention strategies targeting these checkpoints that guide an injured CNS tissue towards recovery.
IMAge Guided precIsion therapy NEtwork in Lower Saxony
An interdisciplinary project with the aim to develop develop and provide a digital support system for harmonized processes and workflows within the model region, accompanying the entire journey of cancer patients.
The Chronic Disease Nephrologist's App (CKDNapp) is designed as a clinical decision support system to assist the practising nephrologist in the management of patients with chronic kidney didease.
Long-/post COVID condition (PCC) is difficult to define due to clinical heterogeneity and limited understanding of its etiology. In RESOLVE-PCC, we aim at answering the questions: 1) Which symptoms are causally related to the infection? 2) Which risk factors determine severity and persistence? 3) Are there distinct subgroups with different underlying disease mechanisms and treatment requirements?
Personalized ANalysis for Drug Activity in Pancreatic Cancer
This project aims to analyze existing drug screening data from pancreatic cancer cell lines to identify personalized treatment strategies for patients.
