TWINNING: Scalable technologies for creating virtual patient twin populations to accelerate in-silico enabled medical device innovation.

双胞胎：用于创建虚拟患者双胞胎群体的可扩展技术，以加速计算机模拟医疗设备创新。

• 批准号: 10103504
• 金额: $ 86.54万
• 依托单位: ADSILICO LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 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=10103504
• 关键词: TWINNING; Scalable; technologies; creating; virtual

**ad**silico, a spin-out from the University of Leeds (UoL), is aiming to Define, Disrupt and Dominate the in-silico trials space to accelerate medical device innovations. It will become the world's first end-to-end in-silico trials service provider. adsilico's technology for creating virtual populations (VP) of anatomy and physiology builds upon 15+ years of research conducted at CISTIB, Centre for Computational Imaging and Simulation Technologies in Biomedicine from UoL.The team conducted the first in-silico trial (IST) for devices used to treat cerebral aneurysms (Sarrami-Foroushani, A, et al, 2021). The performance of flow diverters was assessed in a VP comprising cerebral vessel and aneurysm geometries and associated blood flow waveforms. The results demonstrated that ISTs can replicate and expand on the insights gained from equivalent real clinical trials, at a fraction of the cost and time, and with no real patient involvement. Impact through industrial translation of the research requires enhancement of the prototype image computing workflows for creating the vessel/aneurysm VPs, so that outputs are of suitable quality and reliability for commercial use.The team has a proven track record of conducting large-scale image analysis studies and building virtual patient populations, especially in the cardiovascular and neurovascular domains. For example, we recently analysed 40k subjects' cardiac magnetic resonance (CMR) images across 50 time points of the cardiac cycle, amounting to 2xmillion CMR image volumes (Xia, Y., et al, 2022). We are the only group in the world to have undertaken such analyses at this scale. This resulted in a curated data set of 2 million 3D full heart geometries and the associated, validated workflows used to create the same.This project aims to refine and translate a prototype for creating high-quality cerebrovascular and aneurysm virtual patient populations that are suitable for use within in-silico studies.**Key deliverables:** 1\. Securing early adopters.2\. Define QA processes for compliance with applicable regulations/standards and for audit purposes.3\. Cerebral aneurysm patient data access, curation/preparation. 4\. Strategy for automating management of primary/derived data.5\. Enhancement/validation of workflow for creating cerebrovascular and aneurysm VPs and design-controlled integration (to execution platform).6\. Create simulation ready VPs for neurovascular devices (target 5000 instances).7\. Validation of VPs with customer-driven exemplar.8\. Design/implement secure environment to access/store/manage digital assets.9\. Contractual frameworks (**ad**silico access to data and customer use of derived data).10\. Determine commercial value of cerebrovascular VPs.11\. Validation of commercial model.

** AD **硅是利兹大学（UOL）的纺纱，旨在定义，破坏和主导Silico内试验空间，以加速医疗设备创新。它将成为世界上第一个端到端的内利科试验提供商。 Adsilico创建解剖学和生理学虚拟人群的技术（VP）建立在CISTIB进行的15年以上的研究，该研究是UOL的生物医学计算成像和仿真技术中心的研究。在包括脑血管和动脉瘤几何形状和相关的血流波形的VP中评估流动分流的性能。结果表明，IST可以以相同的实际临床试验，成本和时间的一小部分以及没有真正的患者参与而获得的见解并扩展。通过研究的工业翻译影响需要增强原型图像计算工作流程，以创建血管/动脉瘤VPS，以便输出具有适当的质量和可靠性。例如，我们最近在心脏周期的50个时间点上分析了40K受试者的心脏磁共振（CMR）图像，总计200万CMR图像量（Xia，Y。等，2022）。我们是世界上唯一在此规模上进行此类分析的群体。这导致了一个策划的数据集，其中包括200万3D全心几何形状以及相关的，经过验证的工作流程用于创建相同的工作流程。本项目旨在完善和翻译一种原型，用于创建高质量的脑血管和动脉瘤虚拟患者群体，这些患者适合在内部研究中使用。确保早期采用者2 \。定义QA流程以符合适用的法规/标准和审计目的。3\。脑动脉瘤患者数据访问，策展/准备。 4 \。自动化主/派生数据的策略。5\。增强/验证工作流程，用于创建脑血管和动脉瘤VPS以及设计控制的集成（对执行平台）.6 \。为神经血管设备创建现成的仿真VP（目标5000实例）.7 \。用客户驱动的示例验证VP。8\。设计/实施安全环境以访问/存储/管理数字资产。9\。合同框架（** ad **硅对数据和客户使用派生数据的使用）.10 \。确定脑血管Vps.11 \的商业价值。商业模型的验证。