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Digital Medicine Mathematical modelling of neuronal learning
Robert Gütig
The Gütig lab uses analytical and numerical modeling techniques to identify the computational principles underlying spike based information processing and learning in central nervous systems and to understand how these principles are implemented by biological processes. Specifically, the lab focuses on the role of action potential timing in sensory…
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Oncology Early Cancer Development and Prevention
Kirsten Kübler
Our research focuses on molecular changes in the development of various tumors. We now want to use bioinformatic and experimental methods to better understand the early development of cancer in order to be able to intervene and prevent it in the long term.
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Immunology Oncology Cancer & Immunology | Immune Mechanisms and Human Antibodies
Kathrin de la Rosa
Our motivation is to address fundamental biological questions of human immunology and translate them into innovative therapies. In this respect, the core interest of our laboratory lies in the discovery of new applications of antibodies and B cells to treat and prevent challenging human diseases.
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Genetics/Genomics Digital Medicine Medical Omics
Sören Lukassen
The Medical Omics lab aims to improve healthcare and basic research by providing artificial intelligence-driven tools for the analysis of large biomedical datasets. For comprehensive insights in disease entities, we aim to include multiple layers of data, such as single-cell RNA sequencing, methylomics data and medical imaging. In close…
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Digital Medicine Computational Medicine
Claudia Langenberg
Common metabolic disorders such as obesity, insulin resistance and type 2 diabetes have both environmental and genetic causes. We now know that many sections of the genome influence the risk of weight gain or adverse fat distribution, in addition to the important roles played by lack of physical activity and excessive intake of high-calorie foods.…
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Digital Medicine Core Unit eHealth and Interoperability (CEI)
Sylvia Thun
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Genetics/Genomics Digital Medicine Bioinformatics and Translational Genetics
Dominik Seelow
The main research area of the Bioinformatics and Translational Genetics group is the elucidation of single gene disorders (diseases caused by DNA mutations in a single gene). We are developing user-friendly software that can be used by non-IT specialists. This allows the physicians – who know most about the patients and their disorders – to analyse…
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Digital Medicine Brain Simulation
Petra Ritter
Brain simulation helps us understanding how our brain works – and developing personalized therapies for its diseases
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Digital Medicine Medical Informatics
Fabian Prasser
Further advancing digital medicine requires innovative solutions for integrating healthcare and medical research data. From the perspective of medical informatics, there are important open questions. How can the required collection, integration and analysis of large and heterogeneous data sets be achieved in an efficient, effective and scalable…