The new course, titled «Computational imaging, modeling and AI in biomedicine» was given by the Department of Biomedicine, University of Bergen in an intensive period in January and February. The 10 ECTS course, relevant to the DLN MedImML project, consisted of hands-on programming labs and demos, lectures, a team project (together with medical students) and individual projects presented as speed posters.
Hands-on programming
The course was a guided "journey" with a hands-on component through selected computational modeling techniques within biomedical and medical applications. Examples, demonstrations, and tasks are related to in vivo imaging (MRI) and segmentation, imaging mass cytometry (IMC), biomarkers and prediction, network analysis ("patient similarity networks"), multimodal data, as well as large language models ("foundation models") within medicine and biology.
Data analysis, machine learning and generative AI
Throughout the course, students used principles and modern tools for data analysis, machine learning, and generative AI (e.g., ChatGPT) within biomedical applications. A specifically instructed multilingual GPT (Medical AI Assistant) was made for and used in the course.
Open course repository
All course material, including lectures, code (Jupyter notebooks in Python), data, and links to suggested or recommended supplementary learning material, is fully open on the course GitHub repository. The course will likely be given next time in Spring 2025.