Joint collaboration to develop a predictive method for preventive medicine in asthma care

联合合作开发哮喘护理中预防医学的预测方法

• 批准号: 10078986
• 金额: $ 38.14万
• 依托单位: JIVA.AI LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10078986
• 关键词: Joint; collaboration; develop; predictive; method

Asthma management is a significant burden on healthcare systems globally. Billions of dollars are spent on management of the disease when it is too late, with the patient requiring treatment in secondary care. The development of remote technology has improved dramatically in recent years, generating large amounts of data that could aid in predicting the onset of asthma attacks. Similarly, AI technology has made significant advances in recent times and there is now (with appropriate data and expertise) a possibility that one can create diagnostic and prognostic tools that could reduce patient suffering, save lives and cut costs to healthcare systems.Creating "multimodal AI" - the ability to read multiple types of data to make predictions - in this context is challenging. It ideally involves adding new predictors to existing AI models, which is desirable but technologically and logistically difficult in healthcare. Modern AI methods are mostly based on neural networks, which do not allow for such multimodality by themselves, unless one starts with all data in the first place (itself a rarity). Therefore, there is a technological need for new AI methods that can integrate multiple data modalities, which can then be used in the clinical context such as asthma management.Jiva.ai and Aevice are teaming up to create an early warning system for people with asthma. They will use a wearable stethoscope and advanced AI to allow people to better self-manage their condition and access remote clinical consultations. This will help people get the care they need before their asthma becomes a serious problem.The project will take two years and will involve five different stages. The team will collect data, create advanced computer models, test the models, integrate the models with Aevice's app, and create a plan for how to use the technology in the real world.The project is important because it could lead to better care for people with asthma. It will also help Jiva and Aevice create new technology that could be used to help people with other respiratory diseases.Throughout the project, the team will be watching the market and working with regulators to make sure that the technology is safe and effective. They will also be looking for ways to expand their partnership and bring the technology to more people around the world.The project is an exciting opportunity to use the latest technology to improve people's health and wellbeing.

哮喘管理是全球医疗系统的重大负担。当为时已晚时，数十亿美元被花费在疾病的管理上，患者需要在二级护理中接受治疗。近年来，远程技术的发展有了显著的进步，产生了大量数据，可以帮助预测哮喘发作的发生。同样，人工智能技术在最近取得了重大进展，现在(在适当的数据和专业知识的帮助下)人们有可能创造出诊断和预后工具，从而减少患者的痛苦，拯救生命，并削减医疗系统的成本。在这种背景下，创建“多模式人工智能”--即读取多种类型数据进行预测的能力--是具有挑战性的。理想情况下，它包括在现有的人工智能模型中添加新的预测器，这是可取的，但在医疗保健领域在技术和物流上都存在困难。现代人工智能方法大多基于神经网络，神经网络本身不允许这种多模式，除非首先从所有数据开始(这本身就是罕见的)。因此，技术上需要新的人工智能方法，可以集成多种数据模式，然后将其用于临床环境，如哮喘管理。Jiva.ai和Aevice正在合作为哮喘患者创建早期预警系统。他们将使用可穿戴式听诊器和先进的人工智能，使人们能够更好地自我管理自己的病情，并访问远程临床会诊。这将帮助人们在哮喘成为严重问题之前得到所需的护理。该项目将耗时两年，包括五个不同的阶段。该团队将收集数据，创建先进的计算机模型，测试模型，将模型与Aevice的应用程序集成，并为如何在现实世界中使用这项技术制定计划。该项目很重要，因为它可以为哮喘患者带来更好的护理。它还将帮助Jiva和Aevice创造新的技术，可以用来帮助患有其他呼吸道疾病的人。通过这个项目，该团队将关注市场，并与监管机构合作，确保该技术安全有效。他们还将寻找扩大合作伙伴关系的方法，并将这项技术带给世界各地更多的人。该项目是一个令人兴奋的机会，可以利用最新技术来改善人们的健康和福祉。