Identifying high-risk breast cancer using digital pathology images: A Nightingale Open Science dataset
This dataset links biopsy slides to cancer registry and other administrative data to investigate the course, treatment, and outcome of breast cancer, with the goal of improving treatment and diagnosis. Included patients were biopsied at the Providence Cancer Institute in the United States of America between 1st January 2010 and 31 December 2020. The dataset currently includes data on 3,255 biopsies of cancerous tissue from over 2,500 patients.
Study design
Registry
Number of participants at first data collection
2,567 (patients)
Age at first data collection
Varied (patients)
Participant year of birth
Varied (patients)
Participant sex
Female
Representative sample at baseline?
No
Sample features
Country
Year of first data collection
2010
Primary Institutions
Nightingale Open Science
Providence Cancer Institute of Oregon
University of California, Berkeley (UC Berkeley)
University of Chicago
Profile paper DOI
Not available
Funders
Gordon and Betty Moore Foundation
Ken Griffin
McGovern Foundation
National Institute on Aging (NIA)
Schmidt Futures
Ongoing?
Yes
Data types collected
- Secondary data
- None
- None
- Healthcare data
- Mortality data
Engagement
Keywords
