动物试验
临床前试验
风险分析(工程)
计算机科学
多样性(控制论)
测试策略
领域(数学)
数据科学
管理科学
医学
工程伦理学
医学物理学
人工智能
工程类
生物
数学
程序设计语言
纯数学
软件
生态学
作者
Asif Husain,Dhanalekshmi Unnikrishnan Meenakshi,Aftab Ahmad,Neelima Shrivastava,Shah Alam Khan
标识
DOI:10.4103/jpbs.jpbs_380_23
摘要
With an increase in the progression of research and development in the medical field, the experimental use of animals for the efficacy and safety testing of pharmaceuticals is on rise. Every year, millions of animals are used for experimental testing during which these suffer from pain and are then eventually sacrificed. Besides bioethical issues, animal experimentation is associated with many disadvantages like high cost, the requirement of skilled manpower, approval, and is time-consuming. Therefore, attempts have been made by researchers to design and develop a number of alternative methods that could bypass animal experiments. These methods not only give accurate results but can also save lives of millions of animals annually. Research techniques, including computer and robotics together with molecular biology techniques, are applied to discover new methods to replace animal testing. Several alternative methods are discussed in this review. Some of these methods can predict the behavior of drugs accurately and are as reliable as in-vivo animal models. Furthermore, these alternative methods offer a variety of advantages over experimental animals. However, there is still a great need to discover and develop new, accurate, and reliable methods to replace experimental animals.
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