Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesis of the progress being made and the challenges that remain.

Medical researchers have long sought to identify single molecular defects that cause diseases, with the goal of developing silver-bullet therapies to treat them. But this paradigm overlooks the inherent complexity of human diseases and has often led to treatments that are inadequate or fraught with adverse side effects. Rather than trying to force disease pathogenesis into a reductionist model, network medicine embraces the complexity of multiple influences on disease and relies on many different types of networks: from the cellular-molecular level of protein-protein interactions to correlational studies of gene expression in biological samples. The authors offer a systematic approach to understanding complex diseases while explaining network medicine's unique features, including the application of modern genomics technologies, biostatistics and bioinformatics, and dynamic systems analysis of complex molecular networks in an integrative context.

By developing techniques and technologies that comprehensively assess genetic variation, cellular metabolism, and protein function, network medicine is opening up new vistas for uncovering causes and identifying cures of disease.

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Yes, you can access Network Medicine by Joseph Loscalzo, Albert-László Barabási, Edwin K. Silverman, Joseph Loscalzo,Albert-László Barabási,Edwin K. Silverman in PDF and/or ePUB format, as well as other popular books in Medicine & Diseases & Allergies. We have over one million books available in our catalogue for you to explore.

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Publisher

Harvard University Press

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eBook ISBN

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Subtopic

Cover
Title
Copyright
Dedication
Contents
Preface
Chapter 1. Scientific Basis of Network Medicine
Chapter 2. Introduction to Network Analysis
Chapter 3. Human Interactomes in Network Medicine
Chapter 4. Social Networks in Human Disease
Chapter 5. Phenotype, Pathophenotype, and Endo(patho)phenotype in Network Medicine
Chapter 6. A New Paradigm for Defining Human Disease and Therapy
Chapter 7. Complex Disease Genetics and Network Medicine
Chapter 8. Transcriptomics and Network Medicine
Chapter 9. Post-translational Modifications of the Proteome: The Example of Tau in the Neuron and the Brain
Chapter 10. Epigenetics and Network Medicine
Chapter 11. Metabolomics and Network Medicine
Chapter 12. Using Integrative -omics Approaches in Network Medicine
Chapter 13. Cancer Network Medicine
Chapter 14. Systems Pharmacology in Network Medicine
Chapter 15. Systems Approaches to Clinical Trials
Chapter 16. Microbiomics in Network Medicine
Abbreviations
Glossary
Contributors
Index

About this book

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Table of contents