Improving diagnosis of gastrointestinal cancers using prediction models.
Official title: Improving Diagnosis in Gastrointestinal Cancer: Integrating Prediction Models into Routine Clinical Care
Funded at University of Michigan at Ann Arbor · NIH-10877730 · Data updated 2026-11-12
This study is looking at how we can use new tools to help doctors spot gastrointestinal cancers earlier by examining blood test results, making it easier for patients to get the care they need sooner.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | July 1, 2023 |
| Project end | June 30, 2027 |
| Funding year | 2024 |
| Award (this year) | $276,527 |
| NIH project number | 5K08CA279659-02 |
| Project ID | NIH-10877730 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals experiencing symptoms related to gastrointestinal issues, particularly those with iron deficiency anemia.
✕Less likely to help
Patients who do not have gastrointestinal symptoms or conditions may not benefit from this research.
What this research studies
This research focuses on enhancing the diagnosis of gastrointestinal (GI) cancers by integrating advanced prediction models into everyday clinical practice. The approach involves analyzing electronic health records to identify subtle changes in blood test results that may indicate the presence of GI cancers. By developing tailored strategies to implement these prediction models, the research aims to overcome barriers that have previously hindered their use in clinical settings. This could lead to earlier detection and treatment of GI cancers, ultimately improving patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate diagnoses of gastrointestinal cancers, improving treatment options and outcomes for patients.
How similar studies have gone: Other research has shown promise in using predictive models for cancer diagnosis, suggesting that this approach could be effective in clinical practice.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Read, Andrew J — University of Michigan at Ann Arbor
- Study coordinator: Read, Andrew J
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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.