Improving early detection of Alzheimer's disease using advanced data analysis
Multimodal, multiclass prediction of disease status in Alzheimer’s
This study is working on new ways to spot Alzheimer's disease earlier by using smart computer techniques to look at different health markers, which could help patients get diagnosed sooner and receive better treatment options.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California-Irvine NIH-funded |
| Lab location | 1 site (Irvine, United States) |
| Project ID | NIH-10894760 on NIH RePORTER |
What this research studies
This research focuses on enhancing the early detection of Alzheimer's disease (AD) by utilizing advanced statistical machine learning techniques. It aims to integrate various biomarkers to create a more accurate prediction model for different stages of Alzheimer's, including mild cognitive impairment and healthy cognition. By analyzing large datasets from established Alzheimer’s research initiatives, the project seeks to develop methods that go beyond simple binary classifications, allowing for a more nuanced understanding of disease status. Patients may benefit from earlier diagnosis and tailored treatment options as a result of this innovative approach.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals showing early signs of cognitive decline or those at risk for Alzheimer's disease.
Not a fit: Patients with advanced Alzheimer's disease or those without any cognitive impairment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate diagnoses of Alzheimer's disease, improving treatment outcomes for patients.
How similar studies have performed: Previous research has shown promise in using multimodal biomarker approaches for Alzheimer's detection, indicating potential for success in this novel integration method.
Where this research is happening
Irvine, United States
- University of California-Irvine — Irvine, United States (Active)
Researchers
- Principal investigator: Ren, Yueqi — University of California-Irvine
- Study coordinator: Ren, Yueqi
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.