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Artificial Intelligence in COPD
Artificial Intelligence in COPD is transforming disease management, from underdiagnosis to treatment guidance. Discover how machine learning clusters patients, predicts outcomes, and optimizes healthcare resources.
Artificial Intelligence in COPD is transforming disease management, from underdiagnosis to treatment guidance. Discover how machine learning clusters patients, predicts outcomes, and optimizes healthcare resources.
Discover the strong associations between a polygenic risk score for COPD and lung function from childhood to elderly. Study includes individuals aged 4-84 years, revealing significant links from school age to elderly.
Discover how Bayesian non-parametric trajectory modeling identified seven combined FEV1 and FVC life-course trajectories and their association with airflow obstruction (AO) and PRISm. Learn about the prevalence and onset age across trajectories based on the Framingham Offspring Cohort study.
Discover the distinct patterns of epigenetic age acceleration in COPD patients. Our study reveals significant associations between airflow limitation severity and biological age in blood, highlighting different aging biomarkers in lung tissue.
Explore how systemic inflammation differs between brain-dead (DBD) and circulatory-dead (DCD) lung donors and its impact on primary graft dysfunction (PGD) and mortality in lung transplant recipients.
Explore the link between Preserved Ratio Impaired Spirometry (PRISm) and arterial stiffness, highlighting significant findings from the Austrian LEAD study. Learn how PRISm impacts cardiovascular health.
Discover the relationships between symptoms and lung function in asthma and COPD from the NOVELTY study, highlighting key spirometry measures and their impact.
Aspergillus-associated disorders in bronchiectasis, based on data from the EMBARC Registry. ABPA, AS, and AB: Impact on disease severity, diagnostic criteria efficacy, etc.
Marked differences in peripheral blood immune cell gene expression were observed between bronchiectasis patients and healthy controls.
Transcriptomic changes were associated with disease severity and airway inflammation identifying potential novel biomarkers and therapeutic targets.
Some patients develop post-COVID organizing pneumonia (OP), which is responsiveto treatment with corticosteroids.
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