Integration of epidemiology, pathology, immunology and outcomes in colorectal cancer
Funded at Beckman Research Institute/city of Hope · NIH-11419788 · Data updated 2026-11-12
A physician-scientist team is using artificial intelligence on colorectal cancer tissue images to improve diagnosis, prognosis, and treatment decisions for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Beckman Research Institute/city of Hope NIH-funded |
| Lab location | 1 site (Duarte, United States) |
| Project start | September 22, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $688,362 |
| NIH project number | 5R01CA263318-05 |
| Project ID | NIH-11419788 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with colorectal cancer whose tissue samples and clinical data are included in the study materials.
✕Less likely to help
Patients whose tumors do not display the studied features or who are not represented in the study datasets may not directly benefit.
What this research studies
This project will combine epidemiology, pathology and immunology data with machine learning to analyze colorectal cancer tissue images and clinical information. By applying new algorithms to large sets of scanned slides and tissue samples, researchers aim to identify features associated with prognosis and response to therapy. The goal is to create more accurate, explainable tools that help doctors choose the best treatment for individual patients. The study will integrate digital pathology with clinical and genetic data to build predictive models that can be used in diverse populations.
Why it matters
Potential benefit: If successful, this work could lead to faster, more accurate CRC diagnoses and personalized treatment plans.
How similar studies have gone: Prior studies have shown that machine learning on pathology images can predict certain cancer features and outcomes, though integrating diverse data like epidemiology and immunology is still emerging.
Where this research is happening
-
Beckman Research Institute/city of Hope
Duarte, United States Active
Researchers
- Principal investigator: Gruber, Stephen B — Beckman Research Institute/city of Hope
- Study coordinator: Gruber, Stephen B
Related research
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This study is working to help more people get screened for colorectal cancer and receive the follow-up care they need, especially those who haven't been screened much before, so that everyone can have better access to important health checks and improve their overall health.
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Comparative modeling to guide colorectal cancer screening and care
A researcher team will use computer models to study how access to care, risk, and new screening options affect colorectal cancer outcomes and costs for adults in the US.
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.