Contents of this lecture and the seminar touch upon topics that are rooted in data science (such as ‘deep learning’, ‘blockchain’ or graph databases) that play an ever more crucial, if not decisive role in modern biomedicine and healthcare. Further examples are artificial intelligence, and here in particular (deep) machine learning for targeted clinical decision support, the aforementioned blockchain techniques (which, in other words, reflect bitcoin techniques applied for safe and efficient sharing of ethically critical patient data), genomics, internet of things, robotics, graph databases, ambient computing and visualization. For actual reasons, epidemiological methodology for analysis and control of epidemics can play an important role as well.

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