Using advanced deep learning to explore the genetics and epigenetics of Alzheimer's disease at a single-cell level.
Interpretable Deep Learning Methods to Investigate Genetics and Epigenetics of Alzheimer's Disease at a Single-Cell Resolution
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA-IRVINE · NIH-10903904
This study is looking at how genes and other factors affect Alzheimer's and related dementias by examining individual cells, with the goal of creating new tools that could help patients understand their condition better and find more personalized treatment options.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA-IRVINE (nih funded) |
| Locations | 1 site (IRVINE, UNITED STATES) |
| Trial ID | NIH-10903904 on ClinicalTrials.gov |
What this research studies
This research focuses on understanding Alzheimer's disease and related dementias by investigating the genetic and epigenetic factors that contribute to these conditions at a single-cell resolution. By utilizing advanced deep learning techniques, the researchers aim to analyze complex data from individual cells, which can reveal how various genetic and environmental factors interact and influence disease progression. The project will develop new software tools to help interpret this data, potentially leading to personalized insights into the disease mechanisms. Patients may benefit from a better understanding of their condition and more targeted treatment options based on their unique genetic profiles.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with Alzheimer's disease or related dementias, particularly those who are interested in understanding the genetic and epigenetic factors influencing their condition.
Not a fit: Patients who do not have Alzheimer's disease or related dementias are unlikely to benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatments for Alzheimer's disease and related dementias.
How similar studies have performed: Other research has shown promise in using deep learning and single-cell analysis to uncover insights into complex diseases, indicating that this approach could be effective.
Where this research is happening
IRVINE, UNITED STATES
- UNIVERSITY OF CALIFORNIA-IRVINE — IRVINE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZHANG, JING — UNIVERSITY OF CALIFORNIA-IRVINE
- Study coordinator: ZHANG, JING
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