Current topics in translational medicine presented by speakers from academia and industry.

This course introduces data science and machine learning through the full workflow from raw data to insights. Students gain competency in core data operations, essential statistical tools, supervised and unsupervised methods, and ethical practice. Tutorials provide hands‑on experience using Python and IDEs.

Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamentals as well as modern techniques and methods of imaging and computing in medicine.

Introduction to Python Programming provides an overview of the basic programming blocks needed to translate a problem, stated in textual form, into an algorithm that solves it. The course provides an introduction to the Python programming language as well as satellite tools like Bash scripting, code versioning, ETH infrastructure and AI-assisted tools.

The course provides an overview of the importance of Real-​World Data (RWD), different RWD sources, and how RWD can be exploited in healthcare, clinical and personalised health research, as well as in regulatory decision making. It highlights current trends and existing methods for using and analysing RWD.