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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

14.02.2024

Martin Trapp (Aalto University, Finland)

Host: Zeynep Akata
Title: Flexible and Trustworthy Machine Learning with Tractable Circuits
Time: 11.30 - 12.30 (CET)
Location: Room 163 (Building 56) and Zoom

19.02.2024

Jan Huisken (University of Göttingen, Gottingen)

Host: Fabian Theis
Title: Development, applications, and dissemination of light sheet microscopy technology
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Time: 11.30 - 12.30 (CET)
Location: Room 121 (Building 58a) and Zoom

26.02.2024

Eric Schulz (Helmholtz Munich, Germany)

Host: Tingying Peng
Title: Towards a foundation model for the cognitive (neuro-)sciences
Time: 11.30 - 12.30 (CET)
Location: Room 121 (Building 58a) and Zoom

21.03.2024

Marinka Zitnik (Harvard Medical School, Boston, USA)

Host: Fabian Theis
Title: tbd
Time: 14:00-15:00 (CET)
Location: Online | Zoom

 

 

Publications

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Contact

Dr. Anna Sacher

Dr. Anna Sacher

Director of Operations

58a / 105