Loading...

Course Description

The Digital Imaging and Spatial Omics Research Experience using FUSION: HuBMAP-hosted Jupyter Notebook is a two-week, asynchronous research training initiative designed to introduce trainees and faculty to AI-enabled tools used in spatial-omics and biomedical data analysis within the HuBMAP workspace. 

Participants will engage in two core components: hands-on exploration using the FUSION platform and a guided hypothesis generation challenge using Jupyter Notebook. The program provides a flexible, self-paced learning environment with structured activities that reflect real-world biomedical research workflows. 

  • Hands-On Exploration: Engage with FUSION to visualize and explore spatial-omics data within the HuBMAP research workspace 

  • Hypothesis Development: Use Jupyter Notebook to synthesize findings and develop a testable research hypothesis  

  • Research Engagement: Complete guided activities reflecting interdisciplinary biomedical research approaches  

  • Flexible Learning: Participate in asynchronous, structured learning with optional office hours  

  • Analytical Reasoning: Build skills in data interpretation, visualization, and scientific reasoning 

Learner Outcomes

By completing the FUSION Research Experience, participants will: 

  • Gain hands-on experience using AI-enabled tools for spatial-omics data exploration within the HuBMAP platform  

  • Develop skills in data interpretation, visualization, and research reasoning  

  • Use Jupyter Notebook to translate data exploration into hypothesis generation  

  • Engage in interdisciplinary research workflows used in contemporary biomedical science  

  • Formulate a testable research hypothesis based on multi-modal biomedical data 

Loading...
Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment.
Required fields are indicated by .