Predicting the risk of type 1 diabetes using advanced statistical models
Official title: Dynamic prediction of type 1 diabetes risk and autoantibody status by a joint model of longitudinal and multistate models
Funded at University of South Florida · NIH-10903719 · Data updated 2026-11-12
This study is working on a smart way to predict who might develop type 1 diabetes by looking at certain health markers over time, so that people at risk can be identified and helped earlier.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of South Florida NIH-funded |
| Lab location | 1 site (Tampa, United States) |
| Project start | August 10, 2023 |
| Project end | April 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $150,000 |
| NIH project number | 5R03DK135437-02 |
| Project ID | NIH-10903719 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include children and young individuals aged 0-21 who may be at risk for developing type 1 diabetes.
✕Less likely to help
Patients who are already diagnosed with type 1 diabetes or those outside the age range of 0-21 may not benefit from this research.
What this research studies
This research aims to develop a sophisticated statistical model that predicts the risk of developing type 1 diabetes by analyzing autoantibody status and other relevant health markers over time. By continuously monitoring these factors, the model seeks to provide dynamic predictions tailored to individual patients. The research utilizes data from the Environmental Determinants of Diabetes in the Young (TEDDY) study, employing advanced statistical methodologies to enhance the accuracy of predictions. This approach could lead to earlier identification and intervention for those at risk of type 1 diabetes.
Why it matters
Potential benefit: If successful, this research could enable earlier diagnosis and personalized management strategies for individuals at risk of type 1 diabetes.
How similar studies have gone: Other research has shown promise in using statistical models for predicting diabetes risk, indicating that this approach has potential for success.
Where this research is happening
-
University of South Florida
Tampa, United States Active
Researchers
- Principal investigator: You, Lu — University of South Florida
- Study coordinator: You, Lu
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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.