Research and Development of Senti-AI: Tech-enabled precision & predictive respiratory medicine leveraging an innovative wearable medical device
Research and Development of Senti-AI: Tech-enabled precision & predictive respiratory medicine leveraging an innovative wearable medical device
批准号:
10020413
负责人:
金额:
$44.39万
依托单位:
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
** 背景 **:想象一下,对于全球5亿长期患有呼吸道疾病的人来说,如果他们的肺可以告诉他们到底出了什么问题,他们的疾病是如何发展的,以及确切的解决办法,世界会是什么样子?他们可以:问题是,在过去的200年里,我们一直在用两个橡胶管连接在一个金属锥上来倾听肺部所能告诉我们的信息。听诊器是钝的。呼吸系统疾病影响着全世界五分之一的人。它是 ** 第三大死因 **,仅NHS每年就花费91亿英镑。在整个欧盟/英国,有形和无形成本分别达到 ** 690亿英镑/年 ** 和 ** 2400亿英镑/年 **。提供患者护理依赖于经过听诊(听胸部声音)培训的医疗保健专业人员来诊断,监测和确定治疗方案。至少 **50%的COPD住院 **(Echevarria,2018)、**75%的哮喘急诊入院 **(NHS,2010)和 ** 三分之二的哮喘死亡 **(NRAD,2014)** 可以通过优化护理预防。持续自主监测胸腔声音每天可以挽救数千人的生命,并改善数百万人的生活质量。目前的方法,包括听诊器,无法实现这一目标。**创新 **:Senti-Tech将通过在其正在申请专利的创新智能服装Senti-Wear上构建人工智能,提供优化和个性化的呼吸护理,从根本上解决这一问题。通过在睡觉时经常穿着这件T恤,Senti-AI将优化医疗,让人们重新控制呼吸系统健康,并为他们提供最好的生活质量。Senti-AI将检测这些疾病的发作,并创造机会在这些发作的最早时刻进行干预-避免住院治疗并提高康复速度。当需要帮助时,Senti-AI会自动呼叫帮助。Senti-AI是一个没有锁链的听诊器。**结果 **:该项目将使Senti-Tech能够构建、训练和验证人工智能,以监测Senti-Wear捕获的呼吸和心音,提供量身定制的建议和意见。大多数呼吸道疾病都可以在家中得到充分治疗,前提是在正确的时间发现发作并启动适当的监测。Senti-AI智能设备系统将使这种卓越的护理民主化,消除很大一部分呼吸道医院的入院治疗。这项创新将提高生活质量,并通过及时和个性化的治疗减少可避免的死亡:技术支持的精确和预测性呼吸医学。
英文摘要
**Background**: Imagine what the world would be like for the 500 million people globally suffering with long-term respiratory illnesses, if their lungs could tell them exactly what was wrong, how their illness was progressing, and precisely what to do about it? Well, they can: the problem is we've been listening to what the lungs can tell us, for the past 200 years, with two rubber tubes attached to a metal cone.The stethoscope is blunt.Respiratory disease affects one-in-five people worldwide. It is the **third leading cause-of-death**, costing the NHS alone £9.1bn/year_._ Across the EU/UK combined, tangible and intangible costs reach **£69bn/year** an**d £240bn/year** respectively.Providing patient care relies on healthcare professionals trained in auscultation (listening to chest sounds) to diagnose, monitor, and determine treatments. At least **50% of COPD hospitalisations** (Echevarria, 2018), **75% of asthma emergency admissions** (NHS, 2010), and **two-thirds of asthma deaths** (NRAD, 2014) **are preventable with optimised care.** Continuous autonomous home monitoring of chest sounds could save thousands of lives each day and improve quality-of-life for millions.Current approaches, including the stethoscope, cannot deliver this.**Innovation**: Senti-Tech will radically address this problem by delivering optimised and personalised respiratory care, through artificial intelligence built onto their patent-pending innovative smart garment, Senti-Wear. By wearing this T-shirt regularly whilst sleeping, Senti-AI will optimise medical treatments giving people back control over their respiratory health and offering them the best possible quality of life. Senti-AI will detect attacks of these diseases and create opportunities for intervening at the earliest possible moment in these attacks -avoiding hospitalisation and improving speed of recovery. Senti-AI will automatically call for help when help is needed.Senti-AI is the stethoscope unchained.**Outcomes**: This project will enable Senti-Tech to build, train, and validate anArtificial Intelligence to monitor the breath and heart sounds captured by Senti-Wear, providing tailored recommendations and advice. Most respiratory illnesses can be treated adequately at home, provided attacks are caught at the right time and appropriate monitoring is initiated.The Senti-AI intelligent device system will democratise this excellence-in-care, eliminating a large portion of respiratory hospital admissions. This innovation will improve quality-of-life, and reduce avoidable deaths through prompt and personalised treatment: tech-enabled precision and predictive respiratory medicine.
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国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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批准号:32070202
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项目类别:面上项目
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资助金额:58.0万元
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批准年份:2020
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负责人:汪泉
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依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: