Improving cancer risk predictions for underrepresented populations using integrated data.
Official title: Enhanced Cancer Risk Predictions in Underrepresented Populations through Robust Multi-Source Data Integration
Funded at Columbia University Health Sciences · NIH-11028056 · Data updated 2026-11-12
This study is working to improve how we predict the risk of breast and prostate cancer for Black and Hispanic communities, making sure their unique health needs are considered by using health records and data from various sources.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | January 3, 2025 |
| Project end | December 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $432,304 |
| NIH project number | 1R01CA296289-01 |
| Project ID | NIH-11028056 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include Black and Hispanic individuals who are at risk for breast or prostate cancer.
✕Less likely to help
Patients who do not belong to Black or Hispanic populations or those who are not at risk for breast or prostate cancer may not benefit from this research.
What this research studies
This research aims to enhance the accuracy of cancer risk predictions, particularly for breast and prostate cancer, in Black and Hispanic populations who are often underrepresented in medical studies. By utilizing large-scale electronic health records and biobanks, the project seeks to develop new analytical methods that address the unique health needs of these communities. The approach involves harmonizing diverse data sources while overcoming challenges related to data privacy and communication. Ultimately, the goal is to create more effective risk prediction tools tailored to these populations.
Why it matters
Potential benefit: If successful, this research could lead to more accurate cancer risk assessments and improved early detection strategies for underrepresented groups.
How similar studies have gone: Previous research has shown promise in using integrated data approaches to improve health outcomes, but this specific focus on underrepresented populations is relatively novel.
Where this research is happening
-
Columbia University Health Sciences
New York, United States Active
Researchers
- Principal investigator: Gu, Tian — Columbia University Health Sciences
- Study coordinator: Gu, Tian
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.