Clinical Artificial Intelligence
Deep learning, foundation models, and agents in biomedical research and healthcare.
We are an interdisciplinary research team of computer scientists, medical doctors, biologists, engineers, and everything in between. Our expertise lies in the deep learning-based analysis of complex clinical data, ranging from routine histology and radiology images to genomic sequences, text, and multimodal datasets.
In the last few years, we have pioneered the field of AI-based biomarkers in precision oncology. We routinely train and utilize transformer-based foundation models to build complex workflows for diagnosis, prognosis, and predictive modeling.
Our research also includes the development of autonomous agents for science and healthcare. As AI evolves from narrow, single-task tools into generalist systems, we are developing agents capable of reasoning over data and orchestrating clinical tasks. Our mission is to bridge the gap between these rapidly evolving computational capabilities and the needs of clinical routine.
We are part of the Else Kröner Fresenius Center (EKFZ) for Digital Health at TU Dresden in Dresden, Germany, as well as the National Center for Tumor Diseases (NCT) at University Hospital Heidelberg in Heidelberg, Germany.
