Jasani, Bharat
자료유형 | 단행본 |
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개인저자 | Jasani, Bharat.,author. Huss, Ralf.,author. Taylor, Clive R.,author. |
단체저자명 | SpringerLink (Online service). |
서명/저자사항 | Precision Cancer Medicine [electronic resource] : Role of the Pathologist / by Bharat Jasani, Ralf Huss, Clive R. Taylor. |
판사항 | 1st ed. 2021. |
형태사항 | XV, 237 p. 77 illus., 73 illus. in color:online resource. |
기본자료 저록 | Springer Nature eBook |
기타형태 저록 | Printed edition:9783030840860Printed edition:9783030840884Printed edition:9783030840891 |
ISBN | 9783030840877 |
기타표준부호 | 10.1007/978-3-030-84087-7 |
내용주기 | 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. |
요약 | 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. |
일반주제명 | Pathology. Internal medicine. Pathology. Internal Medicine. |
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