Cancer Informatics, R.D. Klausner; John S. Silva; Marion J. Ball; Chri

Автор: Kalet Ira J.
Название: Principles of Biomedical Informatics, 2 ed
ISBN: 0124160190 ISBN-13(EAN): 9780124160194
Издательство: Elsevier Science
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Описание: Provides a treatment of the deep computational ideas at the foundation of the field. This book includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: tree structured data, interval trees, and time-oriented medical data and their use.

Автор: Ira J. Kalet, PhD
Название: Principles of Biomedical Informatics,
ISBN: 0123694388 ISBN-13(EAN): 9780123694386
Издательство: Elsevier Science
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Описание: Gives a foundation for understanding the fundamentals of biomedical informatics, which deals with the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. This work covers the application of these principles to three biomedical domains of basic biology, clinical medicine, and public health.

Автор: Richesson
Название: Clinical Research Informatics
ISBN: 1848824475 ISBN-13(EAN): 9781848824478
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The purpose of the book is to provide an overview of clinical research (types), activities, and areas where informatics and IT could fit into various activities and business practices. This book will introduce and apply informatics concepts only as they have particular relevance to clinical research settings.

Автор: Igor Jurisica; Dennis A. Wigle; Bill Wong
Название: Cancer Informatics in the Post Genomic Era
ISBN: 1441943447 ISBN-13(EAN): 9781441943446
Издательство: Springer
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Цена: 27951.00 р.
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Описание: Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools for analyzing data in the field of medical information science.

Автор: Michael F. Ochs; John T. Casagrande; Ramana V. Dav
Название: Biomedical Informatics for Cancer Research
ISBN: 1489984518 ISBN-13(EAN): 9781489984517
Издательство: Springer
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Цена: 27950.00 р.
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Описание: view, showing that multiple molecular pathways must be affected for cancer to develop, but with different specific proteins in each pathway mutated or differentially expressed in a given tumor (The Cancer Genome Atlas Research Network 2008; Parsons et al. 2008). Different studies demonstrated that while widespread mutations exist in cancer, not all mutations drive cancer development (Lin et al. 2007). This suggests a need to target only a deleterious subset of aberrant proteins, since any tre- ment must aim to improve health to justify its potential side effects. Treatment for cancer must become highly individualized, focusing on the specific aberrant driver proteins in an individual. This drives a need for informatics in cancer far beyond the need in other diseases. For instance, routine treatment with statins has become widespread for minimizing heart disease, with most patients responding to standard doses (Wilt et al. 2004). In contrast, standard treatment for cancer must become tailored to the molecular phenotype of an individual tumor, with each patient receiving a different combination of therapeutics aimed at the specific aberrant proteins driving the cancer. Tracking the aberrations that drive cancers, identifying biomarkers unique to each individual for molecular-level di- nosis and treatment response, monitoring adverse events and complex dosing schedules, and providing annotated molecular data for ongoing research to improve treatments comprise a major biomedical informatics need.