Samer Alkarkoukly (M.D., M.Sc.)

This is an introductory module to help students acquire a basic understanding of interoperability and semantics and unveil the concepts of FAIR Data that aim at improving Findability, Accessibility, Interoperability and Reuse of data. Due to the increasing volume and complexity of data, there is need for leveraging automation in acquiring, processing and managing data from different sources and a key aspect to this is interoperability. In the course we address a variety of subjects related to semantics including conceptual models and ontologies with applications to medical use cases. Alongside the theoretical part, a practical `hands-on¿ session on FHIR as a solution for interoperability challenges will follow. It will include an introduction to FHIR and it¿s importance for exchanging medical data and some examples of FHIR ¿Profiles¿.

Artificial intelligence is already fundamentally changing medicine, but how do the underlying methods work, and what opportunities and challenges do they present? In this series of seminars, each session will cover a new, practical topic, including the basics of some AI methods, ethical challenges and possible solutions. The lectures, depending on the speaker, could be in German or English, are thematically linked but self-contained