Network Medicine: Complex Systems in Human Disease and Therapeutics [Hardcover] Loscalzo, Joseph; Barabási, Albert-Lászlà ; Silverman, Edwin K.; Antman, Elliott M.; Calderwood, Michael A.; Charloteaux, Benoit; Clish, Clary B.; Cusick, Michael E.; Demeo, Da
Language: English
Published by Harvard University Press, 2017
- Hardcover
- New
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- Title
- Network Medicine: Complex Systems in Human Disease and Therapeutics [Hardcover] Loscalzo, Joseph; Barabási, Albert-Lászlà ; Silverman, Edwin K.; Antman, Elliott M.; Calderwood, Michael A.; Charloteaux, Benoit; Clish, Clary B.; Cusick, Michael E.; Demeo, Da
- Author
- Scott Tillman
- Publisher
- Harvard University Press
- Publication year
- 2017
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0674436539
- ISBN 13
- 9780674436534
- Item weight
- 2.12 pounds
- Seller catalogs
- PLAN-A, SRC-IB, SYNC-261023
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 revolutionise 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.
"Synopsis" may belong to another edition of this title.
About the Author
Albert-László Barabási is Robert Gray Dodge Professor of Network Science and Director of the Center for Complex Network Research at Northeastern University.
Edwin K. Silverman is Chief of the Channing Division of Network Medicine at Brigham and Women s Hospital and Professor of Medicine at Harvard Medical School.
"About the title" may belong to another edition of this title.
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