Understanding and improving treatment for COPD through data analysis
Official title: COPD(GENE): TASK B: "STEWARDSHIP OF BIOSPECIMEN AND DATA REPOSITORIES"
Funded at National Jewish Health · NIH-11144230 · Data updated 2026-11-12
This study is looking at how chronic obstructive pulmonary disease (COPD) affects different people in unique ways, using advanced technology to find clues that could help doctors predict how the disease will progress and create personalized treatment plans just for you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | National Jewish Health NIH-funded |
| Lab location | 1 site (Denver, United States) |
| Project start | August 10, 2024 |
| Project end | August 9, 2025 |
| Funding year | 2024 |
| Award (this year) | $922,055 |
| NIH project number | 75N92023D00011-P00001-759202300002-1 |
| Project ID | NIH-11144230 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with COPD, particularly smokers or those with a history of smoking.
✕Less likely to help
Patients with COPD who are not smokers or have not been diagnosed with the disease may not benefit from this research.
What this research studies
This research focuses on chronic obstructive pulmonary disease (COPD) by analyzing various biological and clinical data to better understand the disease's progression. It aims to categorize COPD patients into meaningful subgroups based on their physiological and imaging characteristics, such as airflow obstruction and emphysema. By utilizing advanced techniques like machine learning and genetic analysis, the study seeks to identify biomarkers and genetic factors that influence COPD progression. This comprehensive approach will help in predicting disease outcomes and tailoring treatments for individual patients.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment plans for COPD patients.
How similar studies have gone: Previous research has shown promise in using similar approaches to understand and treat COPD, indicating that this methodology is both relevant and potentially impactful.
Where this research is happening
-
National Jewish Health
Denver, United States Active
Researchers
- Principal investigator: Crapo, James D — National Jewish Health
- Study coordinator: Crapo, James D
Related research
Other NIH-funded projects on the same topics.
-
Omalizumab for COPD patients with allergen sensitization and exposure
A multicenter trial will test whether adding omalizumab helps people with COPD who are allergic to common indoor allergens and are exposed to them.
-
Clinical CT Imaging to identify and subtype pulmonary hypertension in COPD
A new CT imaging approach aims to help doctors detect and classify pulmonary hypertension in people with COPD.
-
Next-Generation Wearable AI for Precision COPD Risk and Care
A patient-centered project uses a smart wearable and AI to predict COPD flare-ups and support doctors in making better care decisions.
-
Ethics-aware Multimodal AI for COPD prevention, diagnosis, and treatment
A broad AI model uses diverse health data to help predict and manage COPD in people, with an emphasis on ethics and fairness.
-
Easier, local pulmonary rehab and social support for people with COPD in low-resource clinics
This project compares a 10-week community pulmonary rehabilitation program alone, the same program plus help with social needs, and usual care for people with moderate-to-severe COPD to see which helps people stick with rehab and feel better.
-
Improving COPD outcomes with real-world data
A doctor-scientist at a major university is using real-world information from COPD patients to understand which treatments work best, how safe they are, and whether people stick to their inhaler plans.
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.