Mouse Home Cage Health Monitoring Using Virtual Cage Inspection and a Digital Health Biomarker

摘要 每年有数千万只啮齿动物被用于科学研究。这些动物是疾病所必需的。 模型测试，并对人类治疗学的临床前发展至关重要。尽管如此，很棒 需要，目前管理小鼠群体健康的最佳实践依赖于手动检查，这 对动物来说是有压力的，既耗时又容易出错。虽然在维护方面取得了进展 环境条件，如空气质量、笼子温度等，几乎没有采取任何措施来促进 实验动物一般健康监测所需的每日笼养观察负担，如 以及为特定实验(如死亡率研究)定义人道终点。我们的任务是 为了通过开发新的设备来减轻实验动物的压力来促进研究，Boost 动物相关研究的数据完整性，并优化啮齿动物群体的管理。具体来说，我们 建议开发具有自动事件检测的远程笼子监控系统，该系统使用 老鼠健康的数字生物标记物。我们的系统将物联网和大数据带给动物 管理服务，包括利用光学相机进行遥感/观测的好处； 通过智能设备、无线通信和传感进行时间和归档数据访问，以及直观 易于使用的界面。我们的设备将与现有的动物棚架和笼子集成在一起，方便 由提供实时或录制视频的用户采用，这些视频显示实验室动物处于活动状态，因此 使用者可以根据实验动物福利标准充分监测动物健康。目标 1专注于创建和验证用于家庭笼子健康监控和虚拟环境的鼠标行为指标 笼子检查。对于目标2，我们将使用设施范围创建和验证数字健康生物标记物 老鼠笼监控。该系统将节省时间和金钱，提高数据的完整性和可用性， 优化畜牧业设施运营和管理服务。本意见书将 为广泛使用系统提供必要的基础工作，以消除大多数 在显著改善动物繁育和健康的同时，承担与临床前研究相关的负担 数据采集和分析。我们相信这是一项必要的技术创新，以加速人类 开发治疗方法，消除目前阻碍医学研究产出的主要瓶颈。

Abstract Tens of millions of rodents are used for scientific research yearly. These animals are necessary for disease model testing and are essential for pre-clinical development of human therapeutics. Despite this great need, the current best practice for management of mouse colony health relies on manual checking, which is stressful for animals, time consuming and error-prone. While advances have been made in maintaining environmental conditions like air quality, cage temperature, etc., little has been done to advance the burden of daily cage observations that are required for laboratory animal general health monitoring as well as for defining humane endpoints for particular experiments like mortality studies. Our mission is to facilitate research by developing novel devices that will reduce stress on laboratory animals, boost data integrity of animal-related research, and optimize management of rodent colonies. Specifically, we propose the development of a remote cage monitoring system with automated event detection using a digital biomarker for general mouse health. Our system brings Internet of Things and big data to animal management services, including the benefits of remote sensing/observation with optical cameras, real- time and archived data access through smart devices, wireless communications and sensing, and intuitive easy-to-use interfaces. Our device will integrate with existing animal housing racks and caging for easy adoption by users providing live or recorded video that shows laboratory animals when they are active so users can adequately monitor animal health in accordance with laboratory animal welfare standards. Aim 1 focuses on creating and validating mouse behavioral metrics for home cage health monitoring and virtual cage inspection. For Aim 2, we will create and validate a digital health biomarker using facility-wide mouse cage monitoring. This system will save time and money,improve data integrity and availability, and optimize facility operations for animal husbandry and management services. This submission will provide the foundational work necessary for wide-spread utilization of a system that eliminates the most pressing burdens associated pre-clinical research while dramatically improving animal breeding and health data acquisition and analytics. We believe this is a necessary technological innovation to accelerate human therapeutic development and eliminate major bottlenecks currently impeding medical research output.