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在药物发现过程中优化疾病模型有效性的策略。

Strategies to optimize the validity of disease models in the drug discovery process.

作者信息

Sams-Dodd Frank

机构信息

Bionomics Europe, Les Algorithmes, rue Jean Sapidus, Parc d'Innovation, 67400 Illkirch, France.

出版信息

Drug Discov Today. 2006 Apr;11(7-8):355-63. doi: 10.1016/j.drudis.2006.02.005.

DOI:10.1016/j.drudis.2006.02.005
PMID:16580978
Abstract

Models of human diseases are necessary for experimental research into the biological basis of disease and for the development of treatments. They have an enormous impact upon the success of biomedical research. However, in spite of this, a consistent system for evaluating, expressing and comparing the clinical validity of disease models is not available. The purpose of this paper is, therefore, to provide a theoretical discussion of the concepts behind disease models and to develop a terminology and a framework to analyze and express the clinical validity of disease models.

摘要

人类疾病模型对于疾病生物学基础的实验研究以及治疗方法的开发是必要的。它们对生物医学研究的成功有着巨大影响。然而,尽管如此,目前还没有一个用于评估、表达和比较疾病模型临床有效性的统一系统。因此,本文的目的是对疾病模型背后的概念进行理论探讨,并开发一种术语和框架,以分析和表达疾病模型的临床有效性。

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