Stephen T. Sonis & Alessandro Villa 
Translational Systems Medicine and Oral Disease [EPUB ebook] 

Soporte

Translational Systems Medicine and Oral Disease bridges the gap between discovery science and clinical oral medicine, providing opportunities for both the scientific and clinical communities to understand how to apply recent findings in cell biology, genomic profiling, and systems medicine to favorably impact the diagnosis, treatment and management of oral diseases. Fully illustrated chapters from leading international contributors explore clinical applications of genomics, proteomics, metabolomics, microbiomics and epigenetics, as well as analytic methods and functional omics in oral medicine. Disease specific chapters detail systems approaches to periodontal disease, salivary gland diseases, oral cancer, bone disease, and autoimmune disease, among others. In addition, the book emphasizes biological synergisms across disciplines and their translational impact for clinicians, researchers and students in the fields of dentistry, dermatology, gastroenterology, otolaryngology, oncology and primary care. – Presents the work of leading international researchers and clinicians who speak on the clinical applications of genomics, proteomics, metabolomics, microbiomics, and epigenetics, as well as analytic methods and functional omics in oral medicine- Provides full-color, richly illustrated chapters that examine systems approaches to periodontal disease, salivary gland diseases, oral cancer, bone disease and autoimmune diseases- Includes clinical case studies that illustrate examples of oral disease diagnostics and management, highlighting points of key importance for the reader- Emphasizes biological synergisms across disciplines and their translational impact for clinicians, researchers, and students in the fields of dentistry, dermatology, gastroenterology, otolaryngology, oncology, and primary care

€171.53
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Idioma Inglés ● Formato EPUB ● ISBN 9780128137635 ● Editor Stephen T. Sonis & Alessandro Villa ● Editorial Elsevier Science ● Publicado 2019 ● Descargable 3 veces ● Divisa EUR ● ID 6896703 ● Protección de copia Adobe DRM
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