Understanding COPD through advanced imaging and data analysis
Integrating Multi-Modal Data and Biomechanics in COPD: Toward Robust and Interpretable Biomarkers for Disease Subtyping and Progression
This study is looking at ways to better understand and track Chronic Obstructive Pulmonary Disease (COPD) by using different types of information, like images and genetics, to create more accurate tools that can help doctors identify the specific type of COPD you have and how it's changing over time, so you can get more personalized care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston University (Charles River Campus) NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11133755 on NIH RePORTER |
What this research studies
This research investigates Chronic Obstructive Pulmonary Disease (COPD) by integrating various types of data, including imaging, genetic information, and biomechanics. The goal is to develop more accurate biomarkers that can help identify different subtypes of the disease and track its progression. By using advanced deep learning techniques, the study aims to improve the sensitivity and interpretability of current diagnostic methods, moving beyond traditional approaches that may not fully capture the complexity of COPD. Patients may benefit from a more personalized understanding of their condition and tailored treatment options.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with COPD, particularly those experiencing significant disease progression or variability in symptoms.
Not a fit: Patients with mild or stable COPD who do not exhibit significant disease progression may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise and personalized treatments for COPD patients, improving their quality of life.
How similar studies have performed: Previous research has shown promise in using multi-modal data approaches for other diseases, suggesting potential success for this novel method in COPD.
Where this research is happening
Boston, United States
- Boston University (Charles River Campus) — Boston, United States (Active)
Researchers
- Principal investigator: Batmanghelich, Kayhan — Boston University (Charles River Campus)
- Study coordinator: Batmanghelich, Kayhan
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.