Automated tools for personalized cancer screening and risk management
Official title: GARDE: Scalable Clinical Decision Support for Individualized Cancer Risk Management
Funded at University of Utah · NIH-10917398 · Data updated 2026-11-12
This study is looking at how to make cancer screening better by using smart technology to help identify people who might need genetic testing based on their health history, and it will use chatbots to provide information and support to patients in a friendly way.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Utah NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $739,597 |
| NIH project number | 5U24CA274582-02 |
| Project ID | NIH-10917398 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with a family history of cancer or other risk factors that may qualify them for genetic testing.
✕Less likely to help
Patients without a significant family history of cancer or those who do not meet the criteria for genetic testing may not benefit from this research.
What this research studies
This research focuses on improving cancer screening by using advanced technology to personalize risk assessments for patients. It aims to automate the identification of individuals who qualify for genetic testing based on their health records and family history. By integrating with electronic health record systems, the project utilizes chatbots to educate patients and facilitate access to genetic testing. This approach seeks to enhance the efficiency of cancer risk management in primary care settings.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized cancer screening, ultimately improving early detection and treatment outcomes for patients.
How similar studies have gone: Previous research has shown promise in using automated decision support tools for cancer screening, indicating that this approach could be effective.
Where this research is happening
-
University of Utah
Salt Lake City, United States Active
Researchers
- Principal investigator: Del Fiol, Guilherme — University of Utah
- Study coordinator: Del Fiol, Guilherme
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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.