A novel, intelligent, system for remote patient monitoring of asthma and COPD using fast response capnography
A novel, intelligent, system for remote patient monitoring of asthma and COPD using fast response capnography
批准号:
10037972
负责人:
金额:
$108.69万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
世界卫生组织估计,地球上超过7%的人口患有两种慢性呼吸系统疾病:哮喘和慢性阻塞性肺病(COPD)。由于全球空气污染和吸烟的增加,全球范围内的发病率正在上升。现有的临床技术缺乏精确性、预测能力和可用性,无法产生持续的现实影响,从而导致巨大的护理差距。因此,三分之二的哮喘死亡是可以预防的,三分之二的慢性阻塞性肺病患者未得到诊断。哮喘和慢性阻塞性肺病每年给英国经济造成50亿英镑的损失,给美国经济造成超过1000亿美元的损失。剑桥呼吸创新有限公司(CRIL)是一家由风险投资支持的呼吸智能公司,于2013年在英国剑桥成立。我们的使命是通过准确的早期诊断、智能远程监测和病情恶化的早期预测,改变呼吸医学。我们的N-Tida技术建立在新颖的、受专利保护的、快速响应的二氧化碳传感器技术的基础上。目前临床使用的二氧化碳计是基于粗糙的低分辨率二氧化碳传感器,通常集成到呼吸机中,旨在向临床医生提供有关呼吸的非常基本的信息,例如呼吸速率和呼吸结束时呼出的最大二氧化碳量。我们的传感器提供无与伦比的灵敏度,高分辨率,直接从口腔采样。我们的传感器的灵敏度可以实现前所未有的信息,编码在二氧化碳波形的形状中,与肺生理学有关,这是目前临床使用的其他技术无法检测到的。我们已经开发了80种新的呼吸生物标志物,在过去的6年里通过了几项临床试验的验证,这些生物标志物提供了关于肺部健康的新信息,对哮喘和COPD患者气道阻塞的微小变化敏感。这些生物标志物驱动着我们的人工智能诊断、监测和预测软件技术。
英文摘要
The WHO estimates that over 7% of the Earth's population suffer from two chronic respiratory conditions: asthma and chronic obstructive pulmonary disease (COPD). The incidence is rising worldwide due to global increases in air pollution and tobacco smoking. Existing clinical technologies lack the precision, predictive power and usability to deliver sustained real-world impact, resulting in a large care gap. As a result, two thirds of asthma deaths are preventable, and two thirds of patients with COPD are undiagnosed. Asthma and COPD costs the UK economy £5bn each year, and the US economy more than $100bn each year. Cambridge Respiratory Innovations Limited (CRIL) is a venture-backed respiratory intelligence company, founded in 2013 in Cambridge UK. Our mission is to transform respiratory medicine, through accurate early diagnostics, intelligent remote monitoring, and early prediction of deterioration. Our N-Tida technologies are built on a foundation of novel, patent-protected, fast-response CO2 sensor technology. Capnometers in clinical use today are based on crude, low-resolution CO2 sensors, often integrated into ventilators, designed to provide very basic information about breathing to clinicians, e.g., breathing rate, and maximum exhaled CO2 at the end of the breath. Our sensors provide unparalleled sensitivity, high resolution, sampled directly from the mouth. The sensitivity of our sensor enables never-before-seen information, encoded within the shape of the CO2 waveform, related to lung physiology, which no other technology in clinical use today can detect. We have developed 80 novel respiratory biomarkers, validated through several clinical trials over the past 6 years, which provide novel information about lung health, sensitive to small changes in airway obstruction in patients with asthma and COPD. These biomarkers drive our AI-powered diagnostic, monitoring and predictive software technologies.
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批准号:--
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项目类别:外国学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:USHARANI HAREESH GOVINDARA JAN
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依托单位: