Using advanced sensors and AI to detect Alzheimer's disease early
SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimer's Disease Detection
This study is working on a new way to spot Alzheimer's disease early by using special sensors to look at tiny changes in your tears, saliva, and blood, making it easier and less invasive for people to get diagnosed.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Pennsylvania State University, the NIH-funded |
| Lab location | 1 site (University Park, United States) |
| Project ID | NIH-11090500 on NIH RePORTER |
What this research studies
This research focuses on developing a new system that combines advanced biosensors and artificial intelligence to detect Alzheimer's disease at an early stage. By analyzing biomarkers found in tears, saliva, and blood, the project aims to create a minimally invasive method for diagnosis. The innovative platform will utilize a combination of optical, mechanical, and electrochemical sensors, enhanced by machine learning algorithms that improve detection accuracy. Patients' biological samples will be analyzed to identify potential new biomarkers, which could lead to better early detection of Alzheimer's.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals at risk for Alzheimer's disease or those experiencing early symptoms of cognitive decline.
Not a fit: Patients with advanced Alzheimer's disease or those who do not have any risk factors for the disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of Alzheimer's disease, allowing for timely interventions.
How similar studies have performed: Previous research has shown promise in using biosensors and machine learning for disease detection, indicating that this approach could be effective.
Where this research is happening
University Park, United States
- Pennsylvania State University, the — University Park, United States (Active)
Researchers
- Principal investigator: Ma, Fenglong — Pennsylvania State University, the
- Study coordinator: Ma, Fenglong
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.