Understanding and predicting outcomes in COPD using advanced models
Interpretable graphical models for large multi-modal COPD data (R01HL159805)
['FUNDING_R01'] · UNIVERSITY OF FLORIDA · NIH-10911196
This study is looking at how different factors affect Chronic Obstructive Pulmonary Disease (COPD) to help create better, more personalized treatment plans for patients like you.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF FLORIDA (nih funded) |
| Locations | 1 site (GAINESVILLE, UNITED STATES) |
| Trial ID | NIH-10911196 on ClinicalTrials.gov |
What this research studies
This research focuses on developing interpretable graphical models to analyze large and diverse datasets related to Chronic Obstructive Pulmonary Disease (COPD). By utilizing probabilistic graphical models, the research aims to uncover the complex interactions between various factors that influence disease outcomes. This approach is designed to improve predictive accuracy, even with smaller datasets, and to provide insights into the mechanisms of COPD. Patients may benefit from more personalized treatment strategies based on the findings.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with Chronic Obstructive Pulmonary Disease (COPD) who are willing to participate in data collection and analysis.
Not a fit: Patients with other respiratory conditions that are not COPD may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and management of COPD, ultimately improving patient outcomes.
How similar studies have performed: Previous research using probabilistic graphical models has shown promise in similar contexts, indicating potential for success in this novel application.
Where this research is happening
GAINESVILLE, UNITED STATES
- UNIVERSITY OF FLORIDA — GAINESVILLE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: BENOS, PANAGIOTIS V — UNIVERSITY OF FLORIDA
- Study coordinator: BENOS, PANAGIOTIS V
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: Cancer Patient, Cancers