Using advanced imaging to tailor treatment for gastric cancer
Official title: Computational imaging approaches to personalized gastric cancer treatment
Funded at Stanford University · NIH-11042194 · Data updated 2026-11-12
This study is looking to make gastric cancer treatment better by using advanced imaging and smart technology to understand each patient's tumor, so doctors can tailor treatments that work best for them and avoid giving unnecessary chemotherapy.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | March 1, 2023 |
| Project end | February 29, 2028 |
| Funding year | 2025 |
| Award (this year) | $518,383 |
| NIH project number | 5R01CA269559-03 |
| Project ID | NIH-11042194 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include patients diagnosed with localized or locally advanced gastric cancer who are considering treatment options.
✕Less likely to help
Patients with advanced gastric cancer who are not candidates for surgery or those with other unrelated health issues may not benefit from this research.
What this research studies
This research focuses on improving treatment for gastric cancer by developing personalized approaches based on advanced imaging techniques. It aims to analyze tumor characteristics and patient responses to therapy using artificial intelligence and deep learning models. By examining the morphology and spatial features of tumors, the study seeks to create predictive models that can better guide treatment decisions, potentially reducing unnecessary chemotherapy for some patients while ensuring effective treatment for others.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment plans for gastric cancer patients, improving survival rates and quality of life.
How similar studies have gone: Previous research has shown promise in using imaging and AI for personalized cancer treatment, indicating that this approach could be effective.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Li, Ruijiang — Stanford University
- Study coordinator: Li, Ruijiang
Related research
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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.