Search results for ""Author G. V. Sherbet""

Calcium signalling occupies a preeminent position in the signal transduction system of the cell by virtue of its participation in a wide range of physiological functions together with the biological events associated with genetic expression, cell proliferation and apoptosis, as well as cell differentiation and morphogenesis. It is an important feature of cell adhesion and motility; the integrity of the calcium binding proteins themselves is a basic requirement of normal biological function. In fact, the deregulation of calcium signaling is now regarded as the primary event in the pathogenesis, growth, invasion, and secondary spread of cancer.Calcium Signalling in Cancer is a concise up-to-date treatise on the transduction signals induced by calcium that considers how alterations in this calcium-dependent signal transduction pathway are related to a number of human diseases, especially neoplastic transformation. This authoritative text examines a broad range of topics-from mechanisms and significance of calcium homeostasis for normal cell function to calcium signalling pathways and the transduction of the calcium signal, especially in proliferation, cell motility, cancer invasion,, and metastasis.Clearly organized, it covers all aspects of the subject including specific sections on the regulation of the genes whose products are required for signal transduction by calcium, such as Alzheimer's disease, Darier's disease, Duchenne and limb girdle dystrophies, psoriasis and some forms of ichthyosis, and cancer associated retinopathy. With an extensive bibliography and over 2,500 references, Calcium Signalling in Cancer is an invaluable reference source.

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The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research and case studies can be found scattered throughout a multitude of journals. Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management brings together the work of top researchers - primarily clinicians - who present the results of their state-of-the-art work with ANNs as applied to nearly all major areas of cancer for diagnosis, prognosis, and management of the disease.The book introduces the theory of neural networks and the method of their application in oncology. It is not an exercise in ANN research, but the presentation of a new technique for diagnosing and determining the treatment of cancers. The authors have included almost all cancers for which there exist ANN applications. When the data available is ill-defined and the development of an algorithmic solution difficult, neural networks provide a non-linear approach which helps sift through the maze of information and arrive at a reasonable solution.Highly interdisciplinary in nature, this book provides comprehensive coverage of the most important materials relating to the applications of ANNs in the cancer field. With contributions from prominent research centers worldwide, it serves as an introduction to how neural networks can be used for accurate prediction or diagnosis and shows why neural networks are more accurate. Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management gives you an understanding of this new tool, its applications, and when it should be used.

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