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Precision Cancer Medicine : Role of the Pathologist / by Bharat Jasani, Ralf Huss, Clive R. Taylor

By: Jasani, Bharat, http://id.loc.gov/vocabulary/relators/aut
Contributor(s): Huss, Ralf, autor | Taylor, Clive R., autor
Material type: materialTypeLabelE-bookPublisher: Cham : Springer International Publishing,, 2021Edition: First edition 2021.Description: 1 recurso en línea (XV, 237 páginas) : 77 ilustraciones, 73 ilustraciones a color.ISBN: 9783030840877.Subject: CarcinogénesisOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Part I Introduction -- Rationale & Role of Pathology in Personalised Precision Cancer Medicine -- Part II Preparation & Analysis of Cancer Samples for Digital & Computational Pathology Analysis -- Methods of Tissue Preparation & Analysis -- Part III Precision diagnostic, prognostic and predictive analysis of cancer for personalised cancer medicine -- Cancer Typing & Reporting -- Cancer Specific Applications -- Part IV Developing Digital and Computational Technology and Methods for Predictive Cancer Analysis -- Cancer Agnostic Predictive Analysis -- Development of Multiplexed Analysis -- Part V Future of Pathology in Cancer Medicine -- Discussion from a pathologist's perspective the fears and opportunities of the increasing use of digital and computational analysis in cancer pathology -- Conclusion.
Summary: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RC268.5 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.06042071
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Part I Introduction -- Rationale & Role of Pathology in Personalised Precision Cancer Medicine -- Part II Preparation & Analysis of Cancer Samples for Digital & Computational Pathology Analysis -- Methods of Tissue Preparation & Analysis -- Part III Precision diagnostic, prognostic and predictive analysis of cancer for personalised cancer medicine -- Cancer Typing & Reporting -- Cancer Specific Applications -- Part IV Developing Digital and Computational Technology and Methods for Predictive Cancer Analysis -- Cancer Agnostic Predictive Analysis -- Development of Multiplexed Analysis -- Part V Future of Pathology in Cancer Medicine -- Discussion from a pathologist's perspective the fears and opportunities of the increasing use of digital and computational analysis in cancer pathology -- Conclusion.

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.

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