Understanding Parkinson's Disease Progression and Identifying Drug Targets Using Machine Learning
Official title: Progression Subtyping and Drug Target Identification for Parkinson's Disease with Integrative Machine Learning
Funded at Weill Medical Coll of Cornell Univ · NIH-11025389 · Data updated 2026-11-12
This study is looking at how Parkinson's Disease changes over time in older adults by using smart computer techniques to analyze different types of information, like medical records and brain scans, to find new ways to treat the disease, and we’d love to have patients share their experiences to help us understand it better.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Weill Medical Coll of Cornell Univ NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | December 1, 2024 |
| Project end | November 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $684,451 |
| NIH project number | 1R01NS140142-01 |
| Project ID | NIH-11025389 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation are individuals aged 65 and older who have been diagnosed with Parkinson's Disease.
✕Less likely to help
Patients with early-stage Parkinson's Disease or those under the age of 65 may not receive direct benefits from this research.
What this research studies
This research investigates the progression of Parkinson's Disease (PD) in older adults by utilizing advanced machine learning techniques to analyze diverse data sources, including clinical, genomic, and neuroimaging information. The goal is to identify distinct subtypes of PD progression and potential drug targets, which could lead to more effective treatments. By integrating various types of data, the research aims to overcome challenges in understanding the disease's complexity and variability among patients. Patients may be involved in providing real-world data that can enhance the research findings.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment options for individuals with Parkinson's Disease.
How similar studies have gone: Previous research utilizing machine learning to analyze complex datasets in neurodegenerative diseases has shown promising results, indicating potential for success in this novel approach.
Where this research is happening
-
Weill Medical Coll of Cornell Univ
New York, United States Active
Researchers
- Principal investigator: Su, Chang — Weill Medical Coll of Cornell Univ
- Study coordinator: Su, Chang
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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.