Using advanced AI techniques to improve MRI scans for early detection of Alzheimer's disease
Official title: Deep-Learning Enhanced ASL MRI For Early AD Assessment
Funded at University of Maryland Baltimore · NIH-11054678 · Data updated 2026-11-12
This study is looking to improve MRI scans for people with early signs of Alzheimer's disease by using advanced technology to get clearer pictures of brain blood flow, helping doctors better understand the condition and track changes over time.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Maryland Baltimore NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | March 15, 2024 |
| Project end | December 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $687,135 |
| NIH project number | 5R01AG081693-02 |
| Project ID | NIH-11054678 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults experiencing cognitive symptoms or at risk for Alzheimer's disease.
✕Less likely to help
Patients with advanced Alzheimer's disease or those without cognitive symptoms may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy of MRI scans using deep learning to better assess Alzheimer's disease (AD) at an early stage. By improving the measurement of cerebral blood flow through a non-invasive method called arterial spin labeling (ASL), the study aims to overcome current limitations such as low signal quality and long scan times. Patients with cognitive symptoms will undergo MRI scans that can be repeated safely, allowing for ongoing monitoring of brain function and disease progression. The goal is to provide clearer insights into the neuromechanisms of AD, which could lead to better-targeted interventions.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of Alzheimer's disease, improving patient outcomes through timely interventions.
How similar studies have gone: Previous research has shown promise in using advanced imaging techniques for Alzheimer's detection, but this approach utilizing deep learning is relatively novel.
Where this research is happening
-
University of Maryland Baltimore
Baltimore, United States Active
Researchers
- Principal investigator: Wang, Ze — University of Maryland Baltimore
- Study coordinator: Wang, Ze
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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.