Using machine learning to identify mild cognitive impairment through language and behavior
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers
['FUNDING_R01'] · UNIVERSITY OF MICHIGAN AT ANN ARBOR · NIH-10884110
This study is looking at how changes in the way people talk and act might help spot early signs of mild cognitive impairment (MCI), which can lead to Alzheimer's, using smart technology to catch things that doctors might miss, so we can find those at risk sooner and more accurately.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF MICHIGAN AT ANN ARBOR (nih funded) |
| Locations | 1 site (ANN ARBOR, UNITED STATES) |
| Trial ID | NIH-10884110 on ClinicalTrials.gov |
What this research studies
This research investigates how changes in language and behavior can indicate mild cognitive impairment (MCI), a precursor to Alzheimer's disease. By utilizing machine learning algorithms, the study aims to analyze data collected from inexpensive and accessible sensors to detect cognitive changes that traditional methods may miss. The goal is to develop a predictive model that can help identify individuals at risk for Alzheimer's disease earlier and more accurately. This approach seeks to improve the sensitivity and specificity of MCI detection compared to current clinical measures.
Who could benefit from this research
Good fit: Ideal candidates for this research are older adults who are experiencing mild cognitive impairment or are at risk for developing 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 identification of individuals at risk for Alzheimer's disease, allowing for timely interventions.
How similar studies have performed: Other research has shown promise in using machine learning for cognitive assessments, 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: ZHOU, JIAYU — UNIVERSITY OF MICHIGAN AT ANN ARBOR
- Study coordinator: ZHOU, JIAYU
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.
Conditions: Alzheimer disease dementia, Alzheimer syndrome