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.
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La Societat Catalana de Pneumologia (SOCAP) y Chiesi han lanzado la iniciativa ‘Sense Límits’ para concienciar sobre las enfermedades respiratorias, con actividades divulgativas y solidarias como espirometrías, pedaleos solidarios y marchas nórdicas, promoviendo la investigación científica y el cuidado de la salud respiratoria.
This study explores how changes in the respiratory microbiome relate to systemic inflammation in COPD patients. It highlights correlations between bacterial abundance, eosinophilic markers, and airflow limitation severity.
This study investigates telomere length (TL) in bronchiectasis patients, comparing them to COPD patients and healthy controls. Findings show no significant TL reduction in bronchiectasis compared to controls, but a trend towards shorter TL in idiopathic cases. Further research is needed to understand TL’s role in bronchiectasis.
Explore the complex pathophysiology of bronchiectasis, including airway infection, chronic inflammation, and mucociliary dysfunction. Learn how genomic approaches, proteomics, and epigenomics offer new insights into disease endotypes and patient stratification for improved therapies. Discover the role of trained innate immunity in complementing current models.
Explore the metabolic changes in COPD patients, highlighting the influence of aging and sex, with pronounced effects in males. Discover how COPD affects protein metabolism and energy production, emphasizing early aging’s impact.
The relationship between airflow limitation severity and DNA methylation in COPD patients. Findings reveal CpGs with opposite associations in blood and lung tissues, highlighting distinct regulatory mechanisms.
Explore how the treatable traits approach can be applied to pre-COPD, potentially preventing full disease development. Learn about GETomics and its role in understanding pre-COPD through gene-environment interactions.
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.