Exploiting the potential of Artificial Intelligence (AI) to develop imaging, sensing, and omics technology for prevention and early detection of cardiovascular diseases and cancer.
Delivering and translating technological innovations into the clinic requires an innovative and highly interdisciplinary approach to personalized medicine. This cooperation project is supported by associated scientists from FAU and TUM, who provide expertise in four specialized areas.
Generating, analyzing, and integrating biomedical research data is a core element of Health to Health. In the Cluster, we aim to generate new biomedical research data via new imaging and sensing technologies. We will focus on appropriate storage and access to these datasets (with rich standardized metadata) according to the FAIR principles (Findability, Accessibility, Interoperability, and Reuse) on IT infrastructures with scalable computing resources.