Using advanced models to predict progression from mild cognitive impairment to Alzheimer's disease
Official title: Application of deep learning and novel survival models to predict MCI-to-AD dementia progression
Funded at University of Florida · NIH-10917367 · Data updated 2026-11-12
This study is looking to better understand how people with mild cognitive impairment might develop Alzheimer's disease, using advanced technology to find out what factors can help predict their progression, so that the right patients can be chosen for new treatment trials.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project start | September 1, 2023 |
| Project end | May 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $77,952 |
| NIH project number | 5R03AG083207-02 |
| Project ID | NIH-10917367 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with mild cognitive impairment who are at varying stages of the condition.
✕Less likely to help
Patients with advanced Alzheimer's disease or those without any cognitive impairment may not benefit from this research.
What this research studies
This research focuses on improving the prediction of how patients with mild cognitive impairment (MCI) may progress to Alzheimer's disease (AD). By utilizing advanced deep learning techniques and survival models, the study aims to analyze data from existing patient cohorts to identify factors that influence the rate of progression. This could help in selecting patients for clinical trials of new treatments, ensuring that those most likely to decline are included. The research will specifically address the challenges of interval censored data, which is crucial for accurate predictions.
Why it matters
Potential benefit: If successful, this research could lead to more effective identification of patients at risk for Alzheimer's disease, allowing for timely interventions and better-targeted clinical trials.
How similar studies have gone: Previous research has shown promise in using advanced modeling techniques for predicting disease progression, indicating that this approach could be effective.
Where this research is happening
-
University of Florida
Gainesville, United States Active
Researchers
- Principal investigator: Shan, Guogen — University of Florida
- Study coordinator: Shan, Guogen
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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.