Aiming for Early Detection and Prevention of Pulmonary Diseases

Dear Colleagues,

Advances in preventive and pre-emptive medicine are rapidly transforming the management of respiratory diseases. Artificial intelligence and novel imaging technologies, including radiomics, automated segmentation, and guided bronchoscopy, now enable earlier and more accurate detection of pulmonary nodules and subtle parenchymal changes. In parallel, the discovery of biomarkers and genomic tools has broadened opportunities for early screening and risk stratification in conditions such as lung cancer and interstitial lung diseases.

These innovations are complemented by evolving strategies in chronic respiratory disorders. In asthma and chronic obstructive pulmonary disease (COPD), new approaches to early diagnosis, phenotyping, and personalized treatment hold promise for preventing disease progression and exacerbations. Similarly, advances in sleep medicine are improving recognition and management of sleep-disordered breathing, with important implications for long-term cardiopulmonary health.

This Special Issue of the Journal of Clinical Medicine aims to highlight cutting-edge diagnostic techniques, novel clinical evidence, and innovative strategies for the prevention and early treatment of respiratory diseases. By integrating perspectives from oncology, interstitial lung disease, obstructive airway disorders, and sleep medicine, we seek to provide a comprehensive overview of how early intervention can improve outcomes across the spectrum of respiratory care.

We look forward to receiving your contributions.

Dr. Nektarios Anagnostopoulos
Dr. Kostas A. Papavassiliou
Guest Editors

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