Exploring the different types of diabetes using advanced data analysis.
Official title: Understanding Diabetes Heterogeneity via Mining Multimodality Interconnected Data
Funded at Emory University · NIH-11082231 · Data updated 2026-11-12
This study is looking at different types of diabetes by using health records and other health information to find patterns that can help doctors detect and treat diabetes more effectively, making care more personalized for each person.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project start | May 1, 2023 |
| Project end | April 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $171,310 |
| NIH project number | 5K25DK135913-03 |
| Project ID | NIH-11082231 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults diagnosed with prediabetes or type 2 diabetes, particularly those experiencing complications or comorbidities.
✕Less likely to help
Patients with type 1 diabetes or those who do not have diabetes-related health issues may not benefit from this research.
What this research studies
This research investigates the complexities of diabetes by analyzing interconnected data from various sources, including electronic health records and biological markers. It aims to identify distinct subtypes of diabetes, which can help in understanding the disease better and improving early detection and intervention strategies. By utilizing advanced machine learning techniques, the study seeks to uncover hidden patterns and relationships among different health indicators that are often overlooked. This approach could lead to more personalized treatment options for individuals with diabetes.
Why it matters
Potential benefit: If successful, this research could lead to improved early detection and tailored treatment strategies for diabetes patients.
How similar studies have gone: Previous research has shown promise in using advanced analytics to understand diabetes, but this approach aims to explore new methodologies that have not been extensively tested.
Where this research is happening
-
Emory University
Atlanta, United States Active
Researchers
- Principal investigator: Yang, Ji (Carl) — Emory University
- Study coordinator: Yang, Ji (Carl)
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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.