SBIR Phase I: MouthLab - A Medical Tricorder Optimized for Real-time, Rapid Assessment of COVID-19 Patients And Those At Risk

SBIR 第一阶段：MouthLab - 针对实时、快速评估 COVID-19 患者和高危人群而优化的医疗三录仪

• 批准号: 2027721
• 负责人: Sathya Elumalai
• 金额: $ 25.6万
• 依托单位: AIDAR HEALTH, INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2020-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2027721&HistoricalAwards=false
• 关键词: SBIR; Phase; MouthLab; Medical; Tricorder

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project is to advance the development of a novel, rapid COVID-19 symptoms assessment and real-time monitoring tool for individuals as well as infected patients and their care providers. The ability to detect all the early/progressive COVID-19 symptoms are invaluable to limit the rapid spread of disease and reduce the overwhelming demand for healthcare facilities, medical supplies, and front-line personnel. Currently, clinical care for COVID-19 is limited to hospitals and traditional healthcare facilities. Unfortunately, physicians still use temperature or subjective symptom data as the sole predictor of infection/disease status. This project will demonstrate a hand-held device to measure 10+ vital health parameters relevant to COVID-19 in just 30 seconds, and a cloud-based triage platform that leverages AI and machine learning algorithms to create a unique remote-monitoring solution for people who are infected or susceptible to life-threatening complications due to COVID-19. This SBIR Phase I project proposes to customize a device and platform for remote detection and management of COVID-19. This project will advance the development of a device design for remote use and modify the communication protocol to allow the platform to function reliably, even in areas with low cellular network connectivity. Secondly, the project will design a user interface to include a health status indicator via a weighting system optimized for specific parameters (e.g. breathing rate, SpO2, spirometry, temperature). This will enable even general users to understand their health/disease trends based on underlying data and analytics. The proposed project aims to build secure APIs for integrating with existing EMRs to provide data to health systems and federal agencies. Finally, the project will develop an integrated COVID-19 surveillance/triage dashboard for providers and military medics to receive real-time biometric data across populations and geographies to ensure timely intervention and treatment modification.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个小企业创新研究项目的更广泛的影响/商业潜力是推动开发一种新的、快速的新冠肺炎症状评估和实时监测工具，用于个人以及受感染的患者及其护理提供者。能够检测到所有早期/进展性新冠肺炎症状，对于限制疾病的快速传播和减少对医疗设施、医疗用品和一线人员的巨大需求具有非常宝贵的价值。目前，新冠肺炎的临床护理仅限于医院和传统医疗机构。不幸的是，医生仍然使用体温或主观症状数据作为感染/疾病状态的唯一预测因素。该项目将展示一种手持设备，在短短30秒内测量与新冠肺炎相关的10+个重要健康参数，以及一个基于云的分诊平台，该平台利用人工智能和机器学习算法，为因新冠肺炎感染或易患危及生命的并发症的人创建独特的远程监测解决方案。这个SBIR一期项目提出定制一个新冠肺炎远程检测和管理的设备和平台。该项目将推进远程使用设备设计的开发，并修改通信协议，使平台即使在蜂窝网络连接较低的地区也能可靠地运行。其次，该项目将设计一个用户界面，通过针对特定参数(例如呼吸频率、SpO2、肺活量、体温)进行优化的加权系统，包括健康状态指示器。这将使普通用户能够根据基础数据和分析了解他们的健康/疾病趋势。拟议的项目旨在建立安全的原料药，以便与现有的EMR集成，向卫生系统和联邦机构提供数据。最后，该项目将为提供者和军事医务人员开发一个综合的新冠肺炎监测/分诊仪表盘，以接收跨人口和地理位置的实时生物识别数据，以确保及时干预和治疗修改。该奖项反映了美国国家科学基金会的法定使命，并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。