Learn more about our Focus Areas

Discover how we are advancing medicine at the intersection of data, computer science and biology with cutting‑edge research in large language models, deep learning, and image analysis. From ethical AI frameworks to multimodal data fusion and interoperability, our teams tackle the toughest challenges in health technology.

Biosignals

Biosignals are time-series data derived, among others, from the heart, nerves, the brain or muscles. Biosignal research in medicine requires comple...

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AI Ethics and Societal Aspects of Biomedical Informatics

The rapid growth of biomedical data and AI-driven methods raises fundamental ethical challenges. Our research addresses issues such as algorithmic ...

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Data Integration, Interoperability & Standards

High-quality medical AI depends on data that is not only accurate, but also consistent, connected, and usable across systems. Therefore, we focus o...

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Large Language Models

Large Language Models are transforming the way we process and understand biomedical data. In our research, we study how these models can be adapted...

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