Tricorder Array Technologies Animal Welfare Sensor

Tricorder Array Technologies 动物福利传感器

基本信息

批准号：
10700101
负责人：
Erik D Dohm
金额：
$ 117.35万
依托单位：
TRICORDER ARRAY TECHNOLOGIES, LLC
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10700101
关键词：
Address Adult Alabama Algorithms Animal Experimentation Animal Model Animal Welfare Animals Artificial Intelligence Automobile Driving Behavior Biomedical Research Caring Case Study Categories Censuses Cessation of life Characteristics Classification Cloud Computing Collection Communication Coupled Coupling Data Data Analyses Data Collection Databases Dermatitis Detection Development Devices Environment Evaluation Event Failure Female Future Health Home Housing Humidity Individual Industry Institute for Laboratory Animal Research Internet of Things Intervention Interview Life Light Lighting Machine Learning Medical Modeling Monitor Moods Morbidity - disease rate Mus Noise North Carolina Outcomes Research Pain Performance Personal Satisfaction Phase Principal Investigator Reporting Reproducibility Research Sales Sampling Site Small Business Technology Transfer Research Stress System Technology Temperature Testing Time Training Translating Ultrasonics Universities Validation Variant Water animal care animal facility artificial intelligence algorithm cost cost effective data acquisition design digital experimental study fighting improved innovation machine learning algorithm machine learning model male microphone mortality multimodality neural novel phrases prevent programs prospective pup real time monitoring research facility research study sensor social trend vocalization wireless wound

项目摘要

PROJECT SUMMARY Tricorder Array Technologies, LLC (Tricorder), will develop, in partnership with the University of Alabama at Birmingham (UAB), SIDECARe™ (Tricorder Array Technologies Animal Welfare Sensor). SIDECARe™ is set to improve research animal care at the cage level on a massive cost-effective scale by automating the collection of relevant data to enhance consistency and reproducibility of animal models. SIDECARe™ will revolutionize monitoring the health and well- being of mice by being the first to categorize mouse ultrasonic vocalizations (mUSV). In this Phase-II application, aim 1 completes the integration of the continuous mUSV monitoring solution into SIDECARe™ devices. Aim 2 expands SIDECARe™ Artificial Intelligence (AI) enabled classification capabilities to cover the top causes of research disruption. Aim 3 optimizes the SIDECARe™ system via beta deployments in the UAB vivarium workflow. Finally, aim 4 deploys beta systems at external test sites for pre-sales trials. Tricorder’s innovative use of ultrasonic sensors allows the sensor array to pick up mouse vocalizations and use them to interpret health and social events in the cage. SIDECARe™ utilizes a distributed approach to deployment of the AI algorithms required for effective segmentation and interpretation of mUSVs. The focus of the current AI algorithms for SIDECARe™ is to detect conditions such as mouse pups in a cage, flooded cages, fighting animals, and ulcerative dermatitis. The continuous acquisition of mUSV data across increasing numbers of cages, however, represents a wealth of unexplored data available for future development of novel algorithms and new understandings of mouse behavior and well-being. Of particular importance to the SIDECARe™ system is to integrate continuous machine-learning algorithms, which constantly evolve to better identify additional factors and trends that contribute to increased rates of morbidity and mortality. The recorded presence of specific environmental conditions (cage lighting levels, temperature variations, humidity, ambient noise levels) correlated with mouse behaviors are useful for studying research outcomes and/or reproducibility.

项目概要 Tricorder Array Technologies, LLC (Tricorder) 将与大学合作开发阿拉巴马州伯明翰 (UAB)、SIDECARe™（Tricorder Array Technologies 动物福利 SIDECARe™ 旨在大规模改善笼舍水平的研究动物护理。通过自动收集相关数据来增强一致性和成本效益的规模 SIDECARe™ 的可重复性将彻底改变健康和良好的监测。是第一个对小鼠超声波发声（mUSV）进行分类的小鼠。二期应用，目标1完成mUSV连续监测集成 SIDECARe™ 设备中的解决方案 Aim 2 扩展了 SIDECARe™ 人工智能 (AI)。启用分类功能来涵盖研究中断的主要原因 3。通过 UAB vivarium 工作流程中的测试版部署来优化 SIDECARe™ 系统。 Target 4 在外部测试站点部署 Beta 系统，以进行 Tricorder 的创新使用。超声波传感器允许传感器阵列拾取鼠标的声音并使用它们解释笼子里的健康和社会事件。 SIDECARe™利用分布式方法来部署所需的人工智能算法 mUSV 的有效分割和解释是当前人工智能算法的焦点。 SIDECARe™ 用于检测笼子里的幼鼠、笼子被水淹、打斗等情况动物和溃疡性皮炎的持续采集 mUSV 数据不断增加。然而，笼子的数量代表了未来可利用的大量未探索的数据开发新颖的算法以及对小鼠行为和福祉的新理解。 SIDECARe™ 系统特别重要的是集成持续机器学习算法不断发展，以更好地识别有助于识别的其他因素和趋势特定环境的记录存在导致发病率和死亡率增加。条件（笼内照明水平、温度变化、湿度、环境噪音水平）与小鼠行为相关有助于研究研究结果和/或再现性。