BME337 'Introduction to Digital Health'

Link to BME337 in the MNF course catalogue

This course (Spezialvorlesung) will provide an overview of tools, methods and applications driving digital health innovations. In the course, students will gain first insights into the topic by UZH digital health experts presenting their latest research in clinical data science, imaging, mobile health, digital therapeutics, augmented reality and related domains. The course is the first one of five modules on 'Digital Health', which aims at providing students with the fundamental knowledge about using data and computation in clinical research and digital health interventions. To prepare the students for the following modules, this introductory course will provide the necessary understanding of the key concepts in digital health at the intersection of (bio- and behavioural) medicine, data science, bioinformatics, and information systems. However, BME337 can also be booked as "stand-alone" course (it is not necessary to book the other courses as well). 

Topics that will be introduced in this course include:

- General overview on how data, digital tools and Al are used in healthcare;

- Clinical data science and translational informatics;

- Biomedical lmage Analysis and Machine Learning;

- Digital Tools for Medical Knowledge and Decision Support;

- Mobile health data streams for real world evidence generation and public health;

- Digital therapeutics and health interventions for prevention, management, and treatment of diseases.