Shaping learning objectives for biomedical artificial intelligence: Student-centered insights into novel cell visualization technology
Our findings suggest that trainees perceive many educational uses of FUSION, including those that fit traditional biomedical research curricula and translational applications. Trainees should be engaged in co-design to support and guide technology translation for educational use.
Authors
- Mishal Khan (ORCID: https://orcid.org/0009-0009-8274-6829)
- Yulia A. Strekalova (ORCID: https://orcid.org/0000-0002-6060-1233)
- Pinaki Sarder (ORCID: https://orcid.org/0000-0003-2450-5233)
- Samuel Border (ORCID: https://orcid.org/0000-0002-8806-6965)
- Sanjay Jain (ORCID: https://orcid.org/0000-0003-0174-7301)
- Rachel Liu-Galvin
- Selin Kavak
- Nicholas Sherwin
- Victoria Liwang
Institutions
- Washington University in St. Louis (US)
- University of Florida (US)
- Milliken & Company (United States) (US)
Publication Details
- Journal
- Journal of Clinical and Translational Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/cts.2025.10107
- Primary Topic
- Genetics, Bioinformatics, and Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Florida
- University of Cambridge
- National Institutes of Health
- Common Fund