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 normal ranges of fractional exhaled nitric oxide (FeNO) across different age groups in a respiratory healthy population. Based on 2,251 participants, this study identifies factors like age, body height, and eosinophil counts that influence FeNO levels.
Explore the causes of reduced FEV1 in early adulthood, with data from Lifelines and BAMSE cohorts. Findings highlight PRISm and airflow limitation origins, early identification in childhood, and differentiated clinical implications.
Discover the first study designed to analyze the impact of EVLP on the lung microbiome and the local inflammatory response. Understanding the composition, diversity, and functional interactions of the pulmonary microbiome in lung transplants holds promise for personalized respiratory medicine.
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.
Explore Treatable Traits model for chronic airway diseases like asthma and COPD in primary care. Learn about seven key traits — airflow obstruction, eosinophilic inflammation, adherence, inhaler technique, smoking, low BMI/obesity and anxiety and depression — that guide personalized care.
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.
A study that identifies four lung function trajectories in children, highlighting that physical activity and BMI at 4 years predict catch-up lung function growth, particularly zFEV1, but not zFVC.
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.