BMED365: Computational imaging, modelling and AI in biomedicine
Welcome to the course Computational imaging, modelling and AI in biomedicine, BMED365.
This course belongs to the Department of Biomedicine.
The objective and content of the course address: The computational mindset, imaging, modeling, machine learning, and AI in future biomedicine - ethical and regulatory aspects of AI. Examples, demonstrations, and tasks will be 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. Throughout the course, students will use principles and modern tools for data analysis, machine learning, and generative AI (e.g. ChatGPT) within biomedical applications. This will give the students an introduction to Python and Jupyter notebooks, use of the "cloud" for access to open data, calculations, and knowledge, as well as insight into and rationale for "open science" and "reproducible research". All course material will be openly available on a GitHub repository.
You will find the course schedule from the official course description page at https://uib.no/en/course/BMED365 as well as from this Links to an external site. site.
Please make yourself ready and go to the GitHub-repository
Links to an external site. to start!
For academic questions regarding the course, please contact the Course Coordinator Arvid Lundervold (UiB).
For practical/administrative requests, please contact the Section for Academic Affairs via med-ibm-studiesaker@uib.no
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