Translational Medicine 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Translational Medicine

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Cosmatos, Dennis/ Chow, Shein-Chung 作者
譯者
2008-10 出版日期
224 頁數
$ 112.94 價格
叢書系列
9781584888727 圖書編碼

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Translational Medicine 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Translational Medicine 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Translational Medicine 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Translational Medicine 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Translational Medicine 在線電子書 圖書描述

Examines Critical Decisions for Transitioning Lab Science to a Clinical Setting The development of therapeutic pharmaceutical compounds is becoming more expensive, and the success rates for getting such treatments approved for marketing and to the patients is decreasing. As a result, translational medicine (TM) is becoming increasingly important in the healthcare industry - a means of maximizing the consideration and use of information collected as compounds transition from initial lab discovery, through pre-clinical testing, early clinical trials, and late confirmatory studies that lead to regulatory approval of drug release to patients. Translational Medicine: Strategies and Statistical Methods suggests a process for transitioning from the initial lab discovery to the patient's bedside with minimal disconnect and offers a comprehensive review of statistical design and methodology commonly employed in this bench-to-bedside research. Documents Alternative Research Approaches for Faster and More Accurate Data Judgment Calls Elaborating on how to introduce TM into clinical studies, this authoritative work presents a keen approach to building, executing, and validating statistical models that consider data from various phases of development. It also delineates a truly translational example to help bolster understanding of discussed concepts. This comprehensive guide effectively demonstrates how to overcome obstacles related to successful TM practice. It contains invaluable information for pharmaceutical scientists, research executives, clinicians, and biostatisticians looking to expedite successful implementation of this important process.

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