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Paperback. Zustand: New.

Paperback. Zustand: New.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Taschenbuch. Zustand: Neu. Next-Generation Bioinformatics for Pulmonary Disease Research | Devvret Verma (u. a.) | Taschenbuch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337349244 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.