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Integrating Multi-Omics and Artificial Intelligence in COPD: The Role of Extracellular Vesicles: “From Molecular Biomarkers to Machine Learning Models ... (Medicine, Philosophy, and Metaphysics)

Medical & Healthcare Practitioners

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Description

This groundbreaking work explores the intricate biological and computational landscape of chronic obstructive pulmonary disease (COPD) through the lens of extracellular vesicle (EV) biology, multi-omics technologies, and artificial intelligence. Blending the rigor of molecular science with the innovation of machine learning, this book offers a comprehensive overview of how EVs serve as intercellular messengers, biomarkers, and therapeutic vectors in COPD. It examines the integration of genomics, transcriptomics, proteomics, lipidomics, and metabolomics in deciphering the pathogenesis and progression of chronic lung disease—while highlighting the transformative role of AI and machine learning models in predicting, classifying, and managing respiratory health at a personalized level. Ideal for researchers, clinicians, and data scientists, this book bridges disciplines to present a systems-level view of precision pulmonology, from bench to bedside. Whether you're exploring novel diagnostic strategies or pioneering therapeutic pathways, this text offers the insight, evidence, and inspiration to advance the future of respiratory medicine.

Product Specifications

Format: hardcover
ASIN: B0FJ214J81
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners
Domain: Amazon UK
Release Date: 17 July 2025
Listed Since: 18 July 2025

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Integrating Multi-Omics and Artificial Intelligence in COPD: The Role of Extracellular Vesicles: “From Molecular Biomarkers to Machine Learning Models ... (Medicine, Philosophy, and Metaphysics)

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