Identifying respiratory illness at its earliest stages can dramatically influence long-term outcomes, yet many lung conditions remain unnoticed until symptoms become severe. Disorders such as interstitial lung disease, emphysema, and bronchogenic carcinoma often develop silently, with subtle signs that patients or clinicians may overlook. Simple measures like spirometry and peak flow monitoring can uncover airflow limitations before irreversible damage occurs, while advanced imaging techniques help visualize changes that precede clinical decline. Incorporating these assessments into preventive health programs ensures that patients at risk are recognized sooner, reducing the need for intensive interventions later in life. Preventive strategies also carry economic advantages, lowering hospital admissions and healthcare costs associated with advanced disease care.
The importance of early detection of lung disease extends beyond clinical evaluation to include education, technology, and policy integration. High-risk groups such as smokers, people with occupational exposures, or those with family histories of pulmonary disorders benefit from structured screening initiatives like low-dose CT scans and biomarker-based surveillance. Advances in digital health are expanding opportunities for early recognition, with wearable devices tracking respiratory performance and artificial intelligence assisting in pattern recognition on imaging scans. Equally vital are awareness campaigns that encourage individuals to report persistent cough, unexplained fatigue, or changes in breathing patterns. By combining cutting-edge diagnostics, community-level awareness, and proactive clinical engagement, early detection not only prevents complications but also empowers individuals to maintain better quality of life while easing the overall burden of chronic respiratory disease on health systems.
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Yong Xiao Wang, Albany Medical College, United States
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Ranjan Ramasamy, ID-FISH Technology, United States
Title : Comparative evaluation of DECAF and BAP 65 scores in predicting outcomes of COPD exacerbations among in patients at Vicente Sotto Memorial Medical Center
Allanys Joy Q Pino, Vicente Sotto Memorial Medical Center, Philippines
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Saurabh Chattopadhyay, University of Kentucky College of Medicine, United States
Title : Personalized and precision Medicine (PPM) as a unique healthcare model through biodesign driven and inspired biotech, translational applications and pulmonology related marketing to secure the human healthcare, wellness and biosafety
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation