Skip to main content
Colorful abstract image with organic shape
ktsdesign - stock.adobe.com

Computational Health Center

We develop novel computational tools powered by AI to accelerate discovery and translation. We apply cutting-edge computational methods to promote personalised health. Collaboratively, we develop predictive algorithms as well as mechanistic models to analyse molecular, imaging, and clinical data of human health and disease. We thus help to create innovative diagnostics and novel treatments for environmentally triggered diseases.

We develop novel computational tools powered by AI to accelerate discovery and translation. We apply cutting-edge computational methods to promote personalised health. Collaboratively, we develop predictive algorithms as well as mechanistic models to analyse molecular, imaging, and clinical data of human health and disease. We thus help to create innovative diagnostics and novel treatments for environmentally triggered diseases.

Our Research Areas

genetic engineering and dna modification icon
nexusby - stock.adobe.com

Digital Genomics and Image Computing

We develop robust methods for analyzing big data to address key biomedical challenges and consolidate analytical approaches using innovative digital methods. In addition, we develop novel statistical methods for trans- ethnic meta-analysis, testing for pleiotropy, rare variant burden, testing, and polygenic risk score construction.

Artificial intelligence technology, modified
mrspopman - stock.adobe.com

Health AI

We develop and translate AI technologies for biomedical problems by constructing deep-learning methods and combining them with more mechanistic modeling approaches. In addition, we steer the computational aspects of developing single-cell atlases in healthy and disease state to build AI-driven analytics platforms for multimodal data, in particular from genomics and diverse imaging modalities.

Sytems Biomedicine
j-mel - stock.adobe.com

Systems Biomedicine

We develop novel computational methods for multiomic data integration of epigenomic, transcriptomic, proteomic and genetic data and advanced phenotypic/in vivo observations. In addition, we design novel approaches for efficient data combination across omics levels, maximizing the information yield across the multidimensional space of datar from genomics and diverse imaging modalities.

Upcoming Computational Health Seminars

24.07.2024

Cordelia Schmid

Host: Zeynep Akata
Title: Foundation Models in Computer Vision 
Time: 11:30 (CEST)
Location: In person 

25.07.2024

Andreas Raue

Host: Fabian Theis
Title: Applications of Systems Biology in Drug R&D 
Time: 16:00 (CEST)
Location: Hybrid Seminar

12.09.2024

Manolis Dermitzakis

Host: Ele Zeggini
Title: Tbd
Time: Tbd
Location: Tbd

Publications

Read more

2024 Scientific Article in Nature

Gaertner, F. ; Ishikawa-Ankerhold, H. ; Stutte, S. ; Fu, W. ; Weitz, J. ; Dueck, A. ; Nelakuditi, B. ; Fumagalli, V. ; van den Heuvel, D. ; Belz, L. ; Sobirova, G. ; Zhang, Z. ; Titova, A. ; Navarro, A.M. ; Pekayvaz, K. ; Lorenz, M. ; von Baumgarten, L. ; Kranich, J. ; Straub, T. ; Popper, B. ; Zheden, V. ; Kaufmann, W.A. ; Guo, C. ; Piontek, G. ; von Stillfried, S. ; Boor, P. ; Colonna, M. ; Clauß, S. ; Schulz, C. ; Brocker, T. ; Walzog, B. ; Scheiermann, C. ; Aird, W.C. ; Nerlov, C. ; Stark, K. ; Petzold, T. ; Engelhardt, S. ; Sixt, M. ; Hauschild, R. ; Rudelius, M. ; Oostendorp, R.A.J. ; Iannacone, M. ; Heinig, M. ; Massberg, S.

Plasmacytoid dendritic cells control homeostasis of megakaryopoiesis.

Contact

Dr. Anna Sacher

Dr. Anna Sacher

Director of Operations

58a / 105