Clive R. Taylor - Böcker

The most complete, up-to-date reference on antigen retrieval and immunohistochemistryAn antigen is a substance that prompts the generation of antibodies and can cause an immune response. The antigen retrieval (AR) technique is in wide use across the globe, and is a critical technique used in medical diagnosis of disease, particularly clinical targeted cancer treatment.Antigen Retrieval Immunohistochemistry Based Research and Diagnostics discusses several scientific approaches to the standardization of quantifiable immunohistochemistry (IHC). Based on the development and application of AR by the editors, this volume summarizes recent achievements in AR-IHC and analyzes numerous cutting-edge issues for future research projects.Featuring contributions from a worldwide group of leading experts and research scientists in the field, this important work: Summarizes the key problems in the four fields of antigen retrievalDiscusses the advances of AR techniques and their applicationsProvides practical methods and protocols in AR-IHC, such as extraction of nucleic acids and proteins for molecular analysis, cell/tissue sample preparation, and standardization and development of various techniques to meet the future needs of clinical and research molecular analysisEncourages further research in AR and IHC, particularly how AR methods might be employed for improved test performance and the development of greater reliability and reproducibility of IHCIncludes an appendix of related laboratory protocolsAntigen Retrieval Immunohistochemistry Based Research and Diagnostics is intended for clinical pathologists, molecular cell biologists, basic research scientists, technicians, and graduate students who undertake tissue/cell morphologic and molecular analysis and wish to use and extend the power of immunohistochemistry. It is also pertinent for most biotechnology companies majoring in development of IHC products.Wiley Series in Biomedical Engineering and Multi-Disciplinary Integrated Systems / Kai Chang, Series Editor

This book describes the changing role of pathology in aiding reproducible and accurate patient selection for predictive cancer therapy. Particular attention is given to the clinical application of cutting-edge cancer biomarkers to accurately select patients for targeted cancer therapy and how artificial intelligence can improve the precision of treatments. The advent and basis of predictive cancer care, the role of pathologists in translational cancer research, the analysis of cancer samples, the management of biopsy results, and the accuracy of biopsy results are also discussed. Precision Cancer Medicine: Role of the Pathologist details how pathologists can use the latest biomarkers and apply artificial intelligence technology in cancer diagnosis and management. It is also relevant to oncologists and medical practitioners involved in cancer management seeking an up-to-date resource on the topic.