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Preventive and Predictive Genetics: Towards Personalised Medicine, Godfrey Grech; Iris Grossman


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Цена: 22359.00р.
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Автор: Godfrey Grech; Iris Grossman
Название:  Preventive and Predictive Genetics: Towards Personalised Medicine
ISBN: 9783319153438
Издательство: Springer
Классификация:



ISBN-10: 3319153439
Обложка/Формат: Hardcover
Страницы: 398
Вес: 0.76 кг.
Дата издания: 09.07.2015
Серия: Advances in Predictive, Preventive and Personalised Medicine
Язык: English
Издание: Softcover reprint of
Иллюстрации: 36 tables, black and white; 8 illustrations, color; 10 illustrations, black and white; xx, 378 p. 18 illus., 8 illus. in color.
Размер: 167 x 243 x 27
Читательская аудитория: Professional & vocational
Основная тема: Molecular Medicine
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Pharmacogenomics supports personalized medicine by translating genome-based knowledge into clinical practice, offering enhanced benefit for patients and health-care systems at large. Current routine practice for diagnosing and treating patients is conducted by correlating parameters such as age, gender and weight with risks and expected treatment outcomes. In the new era of personalized medicine the healthcare provider is equipped with improved ability to prevent, diagnose, treat and predict outcomes on the basis of complex information sources, including genetic and genomic data. Targeted therapy and reliable prediction of expected outcomes offer patients access to better healthcare management, by way of identifying the therapies effective for the relevant patient group, avoiding prescription of unnecessary treatment and reducing the likelihood of developing adverse drug reactions.
Дополнительное описание: Introduction.- Preventive and Predictive Genetics: A perspective.- Roadmap to Drug Development Enabled by Pharmacogenetics.- Preventative and Predictive Genetics: Towards Personalised Medicine.- Pharmacokinetics and Pharmacogenetics: bringing the magic bu



Predictive ADMET: Integrated Approaches in Drug Discovery and Development

Автор: Wang
Название: Predictive ADMET: Integrated Approaches in Drug Discovery and Development
ISBN: 1118299922 ISBN-13(EAN): 9781118299920
Издательство: Wiley
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Цена: 21376.00 р.
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Описание: By guiding in the application of techniques and tools for predicting ADMET outcomes in drug candidates, Predictive ADMET offers a road map for drug discovery scientists to generate effective and safe drugs for unmet medical needs.

Antioxidants in Therapy and Preventive Medicine

Автор: Ingrid Emerit; Lester Packer; Christian Auclair
Название: Antioxidants in Therapy and Preventive Medicine
ISBN: 1468457322 ISBN-13(EAN): 9781468457322
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Proceedings of the Society for Free Radical Research Winter Meeting 1988 on Free Radicals in Medicine: Current Status of Antioxidant Therapy, held in Paris, France, December 9-10, 1988

Predictive Modeling of Drug Sensitivity

Автор: Pal, Ranadip
Название: Predictive Modeling of Drug Sensitivity
ISBN: 0128052740 ISBN-13(EAN): 9780128052747
Издательство: Elsevier Science
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Цена: 12801.00 р.
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Описание:

Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios.

This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to design a combination of drugs under different constraints, and the applications of drug sensitivity prediction methodologies.

Predictive Methods in Percutaneous Absorption

Автор: Gary P. Moss; Darren R. Gullick; Simon C. Wilkinso
Название: Predictive Methods in Percutaneous Absorption
ISBN: 3662473704 ISBN-13(EAN): 9783662473702
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book sheds new light on the development and use of quantitative models to describe the process of skin permeation. It critically reviews the development of quantitative predictive models of skin absorption and discusses key recommendations for model development. Topics presented include an introduction to skin physiology; the underlying theories of skin absorption; the physical laboratory-based processes used to generate skin absorption data, which is in turn used to construct mathematical models describing the skin permeation process; algorithms of skin permeability including quantitative structure-activity (or permeability) relationships (QSARs or QSPRs); relationships between permeability and molecular properties; the development of formulation-focused approaches to models of skin permeability prediction; the use of artificial membranes, e.g. polydimethylsiloxane as alternatives to mammalian skin; and lastly, the use of novel Machine Learning methods in developing the next generation of predictive skin permeability models. The book will be of interest to all researchers in academia and industry working in pharmaceutical discovery and development, as well as readers from the field of occupational exposure and risk assessment, especially those whose work involves agrochemicals, bulk chemicals and cosmetics.

Predictive Toxicology in Drug Safety

Автор: Xu
Название: Predictive Toxicology in Drug Safety
ISBN: 0521763649 ISBN-13(EAN): 9780521763646
Издательство: Cambridge Academ
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Цена: 19800.00 р.
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Описание: This book is a handbook on drug discovery toxicology for scientists working in this field dedicated to the development of safe drugs. It provides information on the present knowledge of drug side effects and their mitigation strategy during drug discovery, gives guidance for risk assessment and promotes evidence-based toxicology.


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