DEVELOPING TRUSTWORTHY ARTIFICIAL INTELLIGENCE (AI)- DRIVEN TOOLS TO PREDICT VASCULAR DISEASE RISK AND PROGRESSION - VASCULAID
开发值得信赖的人工智能 (AI) 驱动工具来预测血管疾病风险和进展 - VASCULAID
基本信息
- 批准号:10079480
- 负责人:
- 金额:$ 43.31万
- 依托单位:
- 依托单位国家:英国
- 项目类别:EU-Funded
- 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:
- 关键词:
项目摘要
The aim of VASCUL-AID is to predict the risk of cardiovascular events and progression of the vascular diseases Abdominal Aortic Aneurysm (AAA) and Peripheral Arterial Disease (PAD) to influence the course of disease improving the patient’s quality of life and care and assisting clinicians to make better-informed decisions involving the patient. VASCUL-AID will allow us for the first time to identify patients who are at high risk for AAA growth or PAD progression and cardiovascular events. To this end, we will deliver a clinically relevant and cost-effective trustworthy AI-driven platform (VASCUL-AID) that integrates multi-source parameters including imaging, proteomic and genomic data as well as life-style patient data from wearables to enable personalised vascular disease management. To maximise the personalised prevention strategies, VASCUL-AID leverages visualisation toolsto improve clinician-patient communication and empower the patient. The VASCUL-AID platform consists of AI risk-prediction tools, a patient communication app an a clinical dashboard to support clinical decision-making. A particular emphasis is placed on ethics, to ensure beneficial implementation of AI prediction tools. In this project, we aim to (1) build an EU-wide data infrastructure, (2) develop an AI-based progression prediction tools for AAA and PAD, (3) develop criteria according to the COMET initiative to assess the effectiveness of VASCUL-AID, and (4) clinically test and show proof-of-concept for the VASCUL-AID platform. Once validated, this platform can be extended to other cardiovascular diseases(CVDs) as well. VASCUL-AID bringstogether 14 leading organisations(and 2 affiliated entities) consisting of clinical academic centres, institutes, universities and SMEs as well as large industry, patients organisations and policy makers that cover the full value chain to enable integration of the platform into clinical practice.
VASCUL-AID的目的是预测心血管事件的风险和血管疾病腹主动脉瘤(AAA)和外周动脉疾病(PAD)的进展,以影响疾病的进程,改善患者的生活质量和护理,并协助临床医生做出涉及患者的更明智的决定。VASCUL-AID将首次使我们能够识别AAA生长或PAD进展和心血管事件高风险的患者。为此,我们将提供一个临床相关且具有成本效益的值得信赖的人工智能驱动平台(VASCUL-AID),该平台集成了多源参数,包括成像,蛋白质组学和基因组数据以及来自可穿戴设备的生活方式患者数据,以实现个性化的血管疾病管理。为了最大限度地提高个性化预防策略,VASCUL-AID利用可视化工具来改善临床医生与患者的沟通并赋予患者权力。VASCUL-AID平台包括人工智能风险预测工具、患者沟通应用程序和支持临床决策的临床仪表板。特别强调道德,以确保人工智能预测工具的有益实施。在这个项目中,我们的目标是(1)建立一个欧盟范围的数据基础设施,(2)为AAA和PAD开发一个基于AI的进展预测工具,(3)根据COMET倡议制定标准,以评估VASCUL-AID的有效性,以及(4)临床测试和展示VASCUL-AID平台的概念验证。一旦得到验证,该平台也可以扩展到其他心血管疾病(CVD)。VASCUL-AID汇集了14个领先组织(和2个附属实体),包括临床学术中心,研究所,大学和中小企业以及大型行业,患者组织和政策制定者,涵盖整个价值链,使平台能够整合到临床实践中。
项目成果
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其他文献
Internet-administered, low-intensity cognitive behavioral therapy for parents of children treated for cancer: A feasibility trial (ENGAGE).
针对癌症儿童父母的互联网管理、低强度认知行为疗法:可行性试验 (ENGAGE)。
- DOI:
10.1002/cam4.5377 - 发表时间:
2023-03 - 期刊:
- 影响因子:4
- 作者:
- 通讯作者:
Differences in child and adolescent exposure to unhealthy food and beverage advertising on television in a self-regulatory environment.
在自我监管的环境中,儿童和青少年在电视上接触不健康食品和饮料广告的情况存在差异。
- DOI:
10.1186/s12889-023-15027-w - 发表时间:
2023-03-23 - 期刊:
- 影响因子:4.5
- 作者:
- 通讯作者:
The association between rheumatoid arthritis and reduced estimated cardiorespiratory fitness is mediated by physical symptoms and negative emotions: a cross-sectional study.
类风湿性关节炎与估计心肺健康降低之间的关联是由身体症状和负面情绪介导的:一项横断面研究。
- DOI:
10.1007/s10067-023-06584-x - 发表时间:
2023-07 - 期刊:
- 影响因子:3.4
- 作者:
- 通讯作者:
ElasticBLAST: accelerating sequence search via cloud computing.
ElasticBLAST:通过云计算加速序列搜索。
- DOI:
10.1186/s12859-023-05245-9 - 发表时间:
2023-03-26 - 期刊:
- 影响因子:3
- 作者:
- 通讯作者:
Amplified EQCM-D detection of extracellular vesicles using 2D gold nanostructured arrays fabricated by block copolymer self-assembly.
使用通过嵌段共聚物自组装制造的 2D 金纳米结构阵列放大 EQCM-D 检测细胞外囊泡。
- DOI:
10.1039/d2nh00424k - 发表时间:
2023-03-27 - 期刊:
- 影响因子:9.7
- 作者:
- 通讯作者:
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2908693 - 财政年份:2027
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