Using AI to improve prostate cancer risk assessment in Black men
Official title: Artificial intelligence enabled Stroma-Weighted Automated Grading system to improve risk stratification in Black Men
Funded at Icahn School of Medicine at Mount Sinai · NIH-11050742 · Data updated 2026-11-12
This study is working to help Black men with prostate cancer by using advanced technology to better understand their tumors and predict which cases might be more serious, so they can get the right care sooner.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | March 12, 2025 |
| Project end | February 28, 2030 |
| Funding year | 2025 |
| Award (this year) | $717,667 |
| NIH project number | 1R01CA290438-01A1 |
| Project ID | NIH-11050742 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are Black men who are at risk for prostate cancer or have been diagnosed with the disease.
✕Less likely to help
Patients who are not Black men or those who do not have prostate cancer may not benefit from this research.
What this research studies
This research aims to address the significant disparity in prostate cancer mortality rates among Black men by developing an advanced AI-enabled system for risk stratification. The project will utilize innovative imaging techniques and artificial intelligence to analyze tumor biology and identify lethal prostate cancer phenotypes early. By annotating various cancer features through advanced microscopy and AI, the researchers hope to create a more accurate prediction tool for prostate cancer outcomes. Additionally, the study will explore the molecular factors contributing to racial disparities in cancer outcomes.
Why it matters
Potential benefit: If successful, this research could lead to improved early detection and treatment strategies for prostate cancer in Black men, potentially reducing mortality rates.
How similar studies have gone: Previous research has shown promise in using AI for cancer risk assessment, indicating that this approach could be effective in addressing health disparities.
Where this research is happening
-
Icahn School of Medicine at Mount Sinai
New York, United States Active
Researchers
- Principal investigator: Tewari, Ashutosh K — Icahn School of Medicine at Mount Sinai
- Study coordinator: Tewari, Ashutosh K
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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.