The course is targeted PhD students and postdocs in the field of diabetes and other Health areas, with a strong active interest and knowledge in complex data integration, as well as Big Data and Artificial Intelligence. Due to the limited number of seats on the course, you are not guaranteed a seat until you receive an e-mail with final confirmation. You will thus initially be placed on a waiting list, which will be prioritized according to your submitted abstract, motivational letter and CV. This course aims to highlight the state-of-the-art data methodologies in diabetes and other health areas within Big Data and AI and explore the strengths and limitations of using machine learning methodologies on complex diseases. In addition the course will focus on how data can contribute to molecular understanding of diseases; the diversity of methods used when working with data integration & artificial and gives the opportunity to the participants to have an idea on how their own methods relate to global efforts, and expand their horizon and network.