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Bioinformatics is transforming pulmonary disease research by enabling insights into the complex genetics and environmental factors underlying respiratory health. Leveraging high-throughput sequencing and advanced computational modeling, researchers can now uncover biomarkers, identify disease, and map intricate biological pathways with exceptional precision. These innovations not only accelerate the discovery of targets but also pave the way for personalized diagnostics and interventions. Ultimately, bioinformatics is fostering more effective prevention and treatment strategies for conditions such as asthma, chronic obstructive pulmonary disease and pulmonary fibrosis. Next-Generation Bioinformatics for Pulmonary Disease Research explores how emerging bioinformatics is revolutionizing research into pulmonary diseases. This book examines the use of machine learning and network models for lung-specific data. Covering topics such as pulmonary disease, bioinformatics, and disease research, this book is an excellent resource for pulmonologists, medical data scientists, and students in biomedical science.