• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Comparative Medicine >Automated and Continuous Monitoring of Animal Welfare through Digital Alerting
【24h】

Automated and Continuous Monitoring of Animal Welfare through Digital Alerting

机译：通过数字警报自动化和持续监测动物福利

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A primary goal in preclinical animal research is respectful and responsible care aimed toward minimizing stress and discomfort while enhancing collection of accurate and reproducible scientific data. Researchers use hands-on clinical observations and measurements as part of routinehusbandry procedures or study protocols to monitor animal welfare. Although frequent assessments ensure the timely identification of animals with declining health, increased handling can result in additional stress on the animal and increased study variability. We investigated whether automatedalerting regarding changes in behavior and physiology can complement existing welfare assessments to improve the identification of animals in pain or distress. Using historical data collected from a diverse range of therapeutic models, we developed algorithms that detect changes in motionand breathing rate frequently associated with sick animals but rare in healthy controls. To avoid introducing selec- tion bias, we evaluated the performance of these algorithms by using retrospective analysis of all studies occurring over a 31-d period in our vivarium. Analyses revealed thatthe majority of the automated alerts occurred prior to or simultaneously with technicians' observations of declining health in animals. Additional analyses performed across the entire duration of 2 studies (animal models of rapid aging and lung metastasis) demonstrated the sensitivity, accuracy,and utility of automated alerting for detecting unhealthy subjects and those eligible for humane endpoints. The percentage of alerts per total subject days ranged between 0% and 24%, depending on the animal model. Automated alerting effectively complements standard clinical observations toenhance animal welfare and promote responsible scientific advancement.
机译：临床前动物研究的主要目标是尊重和负责任的护理，旨在最大限度地减少压力和不适，同时增强准确和可重复的科学数据的收集。研究人员使用实践的临床观察和测量作为常规冲击程序或研究动物福利的研究协议的一部分。虽然频繁的评估确保了健康衰退的及时识别动物，但增加的处理可能导致动物的额外压力以及增加的研究变异性。我们调查了关于行为和生理学变化的自动化可以补充现有的福利评估，以改善痛苦或痛苦中动物的鉴定。使用从各种治疗模型中收集的历史数据，我们开发了检测运动和呼吸速率经常与生病动物相关的变化的算法，而是在健康控制中罕见。为避免引入选择性偏差，我们通过使用在我们的Vivarium中31-D期间发生的所有研究的回顾性分析来评估这些算法的性能。分析表明，在技术人员对动物减少健康的观察之前发生了大多数自动警报。在整个2项研究中进行的额外分析（快速老化和肺转移的动物模型）展示了自动警报的灵敏度，准确性和效用，用于检测不健康的受试者和有符合人文终点的人。根据动物模型，每次总主题的警报的百分比范围为0％和24％。自动化警报有效地补充了标准的临床观察，努力动物福利，促进负责任的科学进步。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号