Comprehensive Alzheimer's knowledge map
Construction and Application of Comprehensive Knowledge Graphs for Alzheimer's Disease
['FUNDING_R01'] · UNIV OF NORTH CAROLINA CHAPEL HILL · NIH-11197611
This project will build a shared, organized knowledge map that links brain scans, genes, and clinical records to help researchers studying Alzheimer's disease.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIV OF NORTH CAROLINA CHAPEL HILL (nih funded) |
| Locations | 1 site (CHAPEL HILL, UNITED STATES) |
| Trial ID | NIH-11197611 on ClinicalTrials.gov |
What this research studies
From a patient's point of view, researchers are combining published findings and raw data from many Alzheimer's studies into a single, searchable 'knowledge graph.' They will harmonize different types of information—like imaging, genetics, and clinical records—fill in missing pieces using careful statistical methods, and connect facts from the scientific literature. The platform is designed so scientists can more easily find patterns and possible causes that individual studies miss. Over time this organized resource should speed up follow-up research and make it simpler to compare results across studies.
Who could benefit from this research
Good fit: People with Alzheimer's disease, mild cognitive impairment, or older adults willing to share medical records, brain scans, or genetic samples would be ideal contributors to the data used in this project.
Not a fit: People without Alzheimer's-related data or whose conditions are unrelated to Alzheimer's may not receive any direct benefit from this project.
Why it matters
Potential benefit: If successful, this could help researchers discover new causes and targets for treatments that might slow or prevent Alzheimer's disease.
How similar studies have performed: Related data-integration projects and knowledge-graph methods have shown promise in other fields and are increasingly applied to Alzheimer's, but applying them across many large AD datasets with harmonized imputation is relatively new.
Where this research is happening
CHAPEL HILL, UNITED STATES
- UNIV OF NORTH CAROLINA CHAPEL HILL — CHAPEL HILL, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZHU, HONGTU — UNIV OF NORTH CAROLINA CHAPEL HILL
- Study coordinator: ZHU, HONGTU
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, Alzheimer's Disease