Advances in the Personalized Management of Chronic Obstructive Pulmonary Disease (COPD)
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Respiratory Medicine".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 1
Special Issue Editors
Interests: COPD; severe asthma; interstitial lung disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Chronic obstructive pulmonary disease (COPD) represents a major burden for healthcare systems worldwide. Potential reasons include underdiagnosis in multiple parts of the world and the need for novel treatments beyond the currently available inhaled combinations of long-acting muscarinic antagonists (LAMAs), long-acting β-agonists (LABAs), and inhaled corticosteroids (ICSs). Modern diagnostic techniques, including the use of artificial intelligence (AI) in spirometry, oscillometry, novel imaging techniques, and the use of biomarkers, have advanced the phenotyping and endotyping of COPD patients. The proper identification of individual characteristics of COPD patients represents the basis for proper personalized management. This includes the appropriate choice of inhalation devices, the optimal recommendation of pharmacotherapy and non-pharmacologic interventions, advanced interventional treatments (including bronchoscopic lung volume reduction), non-invasive ventilation, and the appropriate management of comorbidities. The recent approval of dupilumab as the first biologic indicated for the management of exacerbating COPD patients with type 2 inflammation represents the advent of potential new candidate biologics for COPD, targetting multiple inflammatory mediators and pathways, including IL-5, TSLP, IL-33, and the ST-2 pathway. This Special Issue welcomes original research and review papers on recent diagnostic and therapeutic options that may advance the personalized management of COPD patients.
Dr. Athena Gogali
Dr. Georgios Hillas
Guest Editors
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Keywords
- artificial intelligence
- biologics
- biomarkers
- diagnostics
- oscillometry
- COPD pharmacotherapy
- imaging
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