This lab is part of our journey through computational imaging and modeling techniques, and the use of AI in biomedical applications. It encompasses a broad set of methodologies to understand, analyze, and predict biological and medical phenomena through mathematical and computational means. It also contains sections on Outbreak science and Programming for Computations - Python by the late Hans Petter Langtangen.
update: 2024-02-21
If you have a subscription to ChatGPT Plus, you can also try out the the Medical AI Assistant (UiBmed - ELMED219 & BMED365) GPT and see if you can get it to answer some of your questions.
| Notebook | 1-Click Notebook |
|---|---|
| 01-perf-explore.ipynb Exploration of dynamic susceptibility contrast (DSC) MRI that allows clinicians to determine perfusion parameters in the brain, such as cerebral blood flow, cerebral blood volume, and mean transit time. |
 |
| 02-SIR-model-explore.ipynb Exploration of the SIR model in epidemiology (S=Susceptible, I=Infected, R=Recovered). |
|
| 03-jupyter-ai-explore.ipynb Jupyter AI is a generative AI extension for JupyterLab, designed to integrate generative AI models into Jupyter notebooks. It features an %%ai magic command for turning notebooks into generative AI playgrounds, supports a wide range of model providers (e.g., OpenAI, Hugging Face), and offers a native chat UI in JupyterLab for interactive AI assistance. |
|