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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

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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.

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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
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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

Alexander Skupin

10.07.2025

Alexander Skupin
Host: Carsten Marr
Title: Integrative multiscale approach to Parkinson’s disease
Time: Tbd
Location: Hybrid

Dominik Otto

17.07.2025

Dominik Otto
Host: Ewa Szczurek
Title: Continuous Representations of Tissues from Single-Cell Data
Time: 16.00 (CEST)
Location: Hybrid

Recent Publications

Read more

2025 Scientific Article in Nature Biotechnology

Luo, J. ; Molbay, M. ; Chen, Y. ; Horvath, I. ; Kadletz, K. ; Kick, B. ; Zhao, S. ; Al-Maskari, R. ; Singh, I. ; Ali, M. ; Bhatia, H.S. ; Minde, D.-P. ; Negwer, M. ; Höher, L. ; Calandra, G.M. ; Groschup, B. ; Su, J. ; Kimna, C. ; Rong, Z. ; Galensowske, N. ; Todorov, M.I. ; Jeridi, D. ; Ohn, T.-L. ; Roth, S. ; Simats, A. ; Singh, V. ; Khalin, I. ; Pan, C. ; Arus, B.A. ; Bruns, O.T. ; Zeidler, R. ; Liesz, A. ; Protzer, U. ; Plesnila, N. ; Ussar, S. ; Hellal, F. ; Paetzold, J.C. ; Elsner, M. ; Dietz, H. ; Ertürk, A.

Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning.

International Conference Contributions

Follow the link to find the latest contributions from Computational Health Center researchers at international AI conferences:

Contact

Frau Sacher, Anna, Dr._freigestellt

Dr. Anna Sacher

Head of Science Management & Administration

Building 58a, Room 105