Precision medicine in the home for real-time zero-effort monitoring of health

家庭精准医疗，实时零费力监测健康

• 批准号: ES/W006480/1
• 负责人: Ali Salehi-Reyhani
• 金额: $ 6.33万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FW006480%2F1
• 关键词: Precision; medicine; home; real; time

Our existing approach to healthcare is reactive and based on limited physiological information, collected months, years or even decades apart. Digital health technologies propose to solve this but often require individuals to actively administer self-testing. This is a daunting prospect for any individual, particularly for the elderly. We propose to overcome this with the development of a toilet-based precision healthcare platform deployed in the home to measure urinary biomarkers of disease. It is zero-effort taking samples autonomously without user intervention and can measure biomolecular signatures of health from urine over time. The aim is to take a personalised medicine approach to detect disease early at the population scale. We are developing methods to detect biomarkers of disease. There are significant, largely non-technical, barriers to the adoption of 'big-tech' precision health solutions by the general population, which we will explore and investigate strategies to solve as part of this project: we will research the barriers to adoption by users and stakeholders, how the molecular data generated can and should be used, as well as conducting pilot projects focussed on the user interaction and engagement elements of a home-based system.

我们现有的医疗保健方法是反应性的，基于有限的生理信息，收集数月，数年甚至数十年。数字健康技术可以解决这个问题，但通常需要个人主动进行自我测试。这对任何个人来说都是一个令人生畏的前景，特别是对老年人来说。我们建议通过开发一个基于智能卡的精准医疗平台来克服这一问题，该平台部署在家中，以测量疾病的尿液生物标志物。它可以在没有用户干预的情况下自动采集样本，并且可以随着时间的推移从尿液中测量健康的生物分子特征。其目的是采取个性化医疗方法，在人口规模上早期发现疾病。我们正在开发检测疾病生物标志物的方法。普通人群采用“大科技”精准健康解决方案存在重大的非技术性障碍，我们将探索和研究解决策略，作为该项目的一部分：我们将研究用户和利益相关者采用的障碍，产生的分子数据可以和应该如何使用，以及进行试验计划，集中于家居为本系统的用户互动和参与元素。