Animal and Translational Models for CNS Drug Discovery, Vol. 1 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Robert A. McArthur 作者

Academic Press

譯者

2008-10-01 出版日期

528 頁數

USD 84.95 價格

Hardcover

叢書系列

9780123738561 圖書編碼

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發表於2024-12-29

Animal and Translational Models for CNS Drug Discovery, Vol. 1 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Animal and Translational Models for CNS Drug Discovery, Vol. 1 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Animal and Translational Models for CNS Drug Discovery, Vol. 1 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Animal and Translational Models for CNS Drug Discovery, Vol. 1 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Animal and Translational Models for CNS Drug Discovery, Vol. 1 在線電子書圖書描述

The use of appropriate models can minimize the number of drug candidates that later fail in human trials by accurately predicting the efficacy and the toxicity of each compound. This can be improved with more informed selection of the appropriate models. This book provides disorder-specific guidelines for understanding the selection and use of non-human models for trials in the drug discovery and development process. Psychiatric Disorders is written for researchers in both academia and the pharmaceutical industry who use animal models in research and development of drugs for psychiatric disorders such as anxiety, depression, and schizophrenia.

This is the first volume in the three volume-set, Animal and Translational Models for CNS Drug Discovery 978-0-12-373861-5, and is also available for purchase individually.

- Clinical, academic, government and industry perspectives fostering integrated communication between principle participants at all stages of the drug discovery process

- Critical evaluation of animal and translational models improving transition from drug discovery and clinical development

- Emphasis on what results mean to the overall drug discovery process

- Exploration of issues in clinical trial design and conductance in each therapeutic area

- Each volume available for purchase individually

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