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Diabetes is a chronic metabolic disorder and complicated disease, and much remains to be learned. This is certainly a medical field in which more insights are needed. The development of high- throughput proteomic technologies permits the solution of deciphering diabetes from higher dimensionality that may provide a knowledgebase which changes the face of diabetes understanding and therapeutics. Ginseng is one of the Chinese medicinal plants with antidiabetic properties. This is the first book to provide an angle covering both proteomics and Chinese medicine researches on diabetes. This book…mehr

Produktbeschreibung
Diabetes is a chronic metabolic disorder and complicated disease, and much remains to be learned. This is certainly a medical field in which more insights are needed. The development of high- throughput proteomic technologies permits the solution of deciphering diabetes from higher dimensionality that may provide a knowledgebase which changes the face of diabetes understanding and therapeutics. Ginseng is one of the Chinese medicinal plants with antidiabetic properties. This is the first book to provide an angle covering both proteomics and Chinese medicine researches on diabetes. This book not only serves as an introduction to the topic for novices to the area and a useful reference for those already involved, but also serves as a stimulus to these and others to develop new approaches to the disease. This unique book provides proteomic and medicinal approaches towards diabetes which will appeal to anyone involving in diabetes research - clinicians, diabetes researchers, endocrinologists, pathologists, pharmacologists, and pharmaceutical specialists who want to expand their knowledge in diabetes research.
Autorenporträt
Dr William CS Cho is an international renowned scientist working on cancer, immunology, diabetes, proteomics and Chinese medicine. Dr Cho serves as an editor-in-chief and editor on a number of international medical journals and has published over 70 papers and books covering cancer, immunology, Chinese medicine, diabetes and biomarkers.