Improving treatment plans for type 2 diabetes using real-world data.
Statistical and Machine Learning Methods to Improve Dynamic Treatment Regimens Estimation Using Real World Data.
This study is looking to improve diabetes treatment by using real-life health data to create personalized plans that work best for each person, so you can get the most effective care tailored just for you.
Quick facts
| Grant type | R01 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 ID | NIH-11092132 on NIH RePORTER |
What this research studies
This research focuses on enhancing treatment strategies for individuals with type 2 diabetes by utilizing real-world data instead of relying solely on traditional clinical trial results. It aims to develop statistical and machine learning methods to create dynamic treatment regimens that can be tailored to individual patient needs. By integrating data from various sources like health records and disease registries, the project seeks to address challenges such as bias and generalizability in treatment recommendations. Patients may benefit from more personalized and effective treatment options based on their unique health profiles.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with type 2 diabetes who may benefit from tailored treatment approaches.
Not a fit: Patients without a diagnosis of type 2 diabetes or those who do not require individualized treatment plans may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment plans for patients with type 2 diabetes.
How similar studies have performed: Previous research has shown promise in using real-world data to inform treatment decisions, indicating that this approach could be effective.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Zeng, Donglin — University of Michigan at Ann Arbor
- Study coordinator: Zeng, Donglin
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 below.