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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

18.04.2024

Guy Wolf (Université de Montréal (UdeM))

Host: Bastian Rieck
Title: Multiscale exploration of single cell data with geometric harmonic analysis
Time: 16.00 - 17.00 (CEST)
Location: Room 121 (Building 58a) and Zoom

25.04.2024

Laura Huckins (Yale University)

Host: Ele Zeggini
Title: Beyond GWAS: predicting the multi-omic and clinical impact of disease variants
Time: 14.00 - 15.00 (CEST)
Location:ITG Seminar room and Zoom

06.05.2024

Yuki Asano (University of Amsterdam)

Host: Zeynep Akata
Title: Self-Supervised Learning in the age of Foundation Models
Time: 11.00 - 12.00 (CEST)
Location: Room 160a/b (Building 56) and Zoom

16.05.2024

Yogesh Goyal (Northwestern University)

Host: Carsten Marr
Title: Chance, necessity, or free will: decision making in single cells
Time: 16:00-17:00 (CEST)
Location: Tbd

 

 

Publications

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Contact

Dr. Anna Sacher

Dr. Anna Sacher

Director of Operations

58a / 105