TARGET: Health virtual twins for the personalised management of stroke related to atrial fibrillation

目标：健康虚拟双胞胎，用于房颤相关中风的个性化管理

• 批准号: 10114601
• 金额: $ 13.28万
• 依托单位: ARRHYTHMIA ALLIANCE
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10114601
• 关键词: TARGET; Health; virtual; twins; personalised

Atrial fibrillation (AF) is the most common heart arrhythmia worldwide, leading to life-limiting complications, high financial burden and significant resource utilisation. In Europe, stroke as a debilitating complication of AF, is amongst the commonest causes of death and the leading cause of disability. AF patients have a 5-fold increased risk for ischaemic stroke. Functional recovery from AF-related stroke (AFRS) is often unsatisfactory, leading to severe disability, reduced quality of life and high mortality. TARGET’s ambition is to develop novel personalised, integrated, multi-scale computational models (virtual twins) and decision-support tools for the AF-related stroke pathway, starting from the healthy state, pathophysiology and disease onset, progression, treatment and recovery. TARGET aims to help prevent AF and AFRS, optimise acute management and rehabilitation, reduce long-term disability, provide a better quality of life for patients and caregivers, and lower healthcare costs. We will ensure patients are at the heart of the project, and the association with experienced commercial partners will ensure the swift adoption of TARGET’s novel technologies. New observational data will be collected via 4 carefully designed prospective clinical studies, which will be used to test and validate the personalised tools and the virtual twin models using a clinical trial simulation (virtual/in-silico), to demonstrate evidence of clinically meaningful results. TARGET will also help consolidate existing mechanistic virtual twin models of the heart, the brain and the neuromusculoskeletal system, enriching these twins to deliver more complex tasks, and supporting research to move towards a more integrated human virtual twin. TARGET represents a milestone project to improve the care and rehabilitation of patients with AF and AFRS, introducing a paradigm shift in risk prediction, diagnosis and management of the disease, and accelerating translational research into practice.

心房颤动 (AF) 是世界范围内最常见的心律失常，会导致危及生命的并发症、高昂的经济负担和大量的资源消耗。在欧洲，中风作为 AF 的一种使人衰弱的并发症，是最常见的死亡原因之一，也是主要原因。 AF 患者发生缺血性中风 (AFRS) 的功能恢复往往不理想，导致严重残疾和质量下降。 TARGET 的目标是从健康状态、病理生理学和疾病发作、进展开始，为 AF 相关中风途径开发新型个性化、集成、多尺度计算模型（虚拟双胞胎）和决策支持工具。 TARGET 旨在帮助预防 AF 和 AFRS，优化急性管理和康复，减少长期残疾，为患者和护理人员提供更好的生活质量，并降低医疗费用。该项目的核心，与经验丰富的商业合作伙伴的合作将确保 TARGET 的新技术得到迅速采用，通过 4 项精心设计的前瞻性临床研究收集新的观察数据，这些数据将用于测试和验证个性化工具和技术。使用临床试验模拟（虚拟/计算机模拟）的虚拟双胞胎模型，以证明具有临床意义的结果的证据，也将有助于巩固现有的心脏、大脑和神经肌肉骨骼系统的机械虚拟双胞胎模型。这些双胞胎能够执行更复杂的任务，并支持研究朝着更加一体化的人类虚拟双胞胎方向发展，这是一个里程碑式的项目，旨在改善 AF 和 AFRS 患者的护理和康复，在风险预测、诊断和管理方面带来范式转变。疾病的研究，并加速将研究转化为实践。