COPD Subtypes and Early Prediction Using Integrative Probabilistic Graphical Models
Overview
Organization: National Heart, Lung, and Blood Institute
Start Date: 07/2021
End Date: 06/2022
Primary Goal: Goal 4: Increase and sustain research to better understand the prevention, pathogenesis, diagnosis, treatment, and management of COPD.
Secondary Goal(s):
Objective(s):
- Help expand, coordinate, and optimize COPD research efforts
- Improve methods for earliest detection and diagnosis and develop effective strategies for preventing the onset and progression of COPD
- Define and characterize the pathogenesis of COPD heterogeneity
- Promote research that can lead to strategies that help prevent the onset and progression of COPD and improve the quality of COPD care and management
Collaboration: University of Pittsburgh
Activity Type: Research
Activity Description
This NHLBI-funded research activity is being carried out by University of Pittsburgh.Understanding the etiology of complex diseases and categorizing patients from samples taken from easily accessible tissues (like blood) are two very important aspects that will lead to development of new precision medicine strategies. This study develops new computational methods and tools that will allow researchers to identify subphenotypes in any disease. We will apply these methods on three cohorts with thousands of patients with chronic obstructive pulmonary disease (COPD) and our results are expected to help us understand the complexities of this disease and build predictors of future development.
Audience
General Audience: Health professionals, Researchers
Focused Audience: n/a
Program Reach: National
Type of Area: N/A
Setting: Workplace
Cost and Funding Sources
This activity was funded through the National Heart, Lung, and Blood Institute.Impact Analysis
In processAdvice or Lessons Learned
In processContact Information
National Heart, Lung, and Blood Institute
Program Analyst
Bethesda
Maryland