AcceleRating the Translation of virtual twins towards a pErsonalised Management of fatty lIver patients (Artemis)

加速虚拟双胞胎向脂肪肝患者个性化管理的转化（Artemis）

• 批准号: 10109933
• 金额: $ 36.82万
• 依托单位: IMPERIAL COLLEGE LONDON
• 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=10109933
• 关键词: AcceleRating; Translation; virtual; twins; towards

The ARTEMIs project aims to consolidate existing computational mechanistic and machine-learning models at different scales to deliver ‘virtual twins’ embedded in a clinical decision support system (CDSS). The CDSS will provide clinically meaningful information to clinicians, for a more personalised management of the whole spectrum of Metabolic Associated Fatty Liver Disease (MAFLD). MAFLD, with an estimated prevalence of about 25%, goes from an undetected sleeping disease, to inflammation (hepatitis), to fibrosis development (cirrhosis) and/or hepatocellular carcinoma (HCC), decompensated cirrhosis and HCC being the final stages of the disease. However, many MAFLD patients do not die from the liver disease itself, but from cardiovascular comorbidities or complications. The ARTEMIs will contribute to the earlier management of MAFLD patients, by prognosing the development of more advanced forms of the disease and cardiovascular comorbidities, promoting active surveillance of patients at risk. The system will predict the impact of novel drug treatments or procedures, or simply better life habits. The system will therefore not only serve as a clinical decision aid tool, but also as an educational tool for patients, to promote better nutritional and lifestyle behaviors. In more advanced forms of the disease, therapeutic interventions include TIPPS to manage portal hypertension, partial hepatectomy, partial or complete liver transplant. ARTEMIs will contribute to predict per- or post-intervention heart failure, building on existing microcirculation hemodynamics models. The model developers will benefit from a large distributed patient cohort and data exploration environment to identify patterns in data, draw new theories on the liver-heart metabolic axis and validate the performance of their models. The project includes a proof-of-concept feasibility study assessing the utility of the integrated virtual twins and CDSS in the clinical context.

ARTEMIS项目旨在整合不同规模的现有计算机制和机器学习模型，以提供嵌入临床决策支持系统(CDSS)的“虚拟双胞胎”。CDSS将为临床医生提供有临床意义的信息，以便对代谢相关脂肪性肝病(MAFLD)的整个谱进行更个性化的管理。据估计，MAFLD的患病率约为25%，从未被发现的睡眠疾病，到炎症(肝炎)，到纤维化发展(肝硬变)和/或肝细胞癌(HCC)，失代偿性肝硬变和肝细胞癌是疾病的最后阶段。然而，许多MAFLD患者并不是死于肝病本身，而是死于心血管并发症或并发症。ARTEMIS将通过预测更高级形式的疾病和心血管合并症的发展，促进对有风险的患者的积极监测，为MAFLD患者的早期管理做出贡献。该系统将预测新的药物治疗或程序的影响，或者只是更好的生活习惯。因此，该系统不仅将作为临床决策辅助工具，还将作为患者的教育工具，促进更好的营养和生活方式行为。在较晚期的疾病中，治疗干预措施包括TIPPS治疗门脉高压症、部分肝切除、部分或全部肝移植。Artemis将在现有微循环血流动力学模型的基础上，为预测干预后或干预后的心力衰竭做出贡献。模型开发人员将受益于大规模分布的患者队列和数据探索环境，以识别数据中的模式，得出关于肝脏-心脏代谢轴的新理论，并验证他们的模型的性能。该项目包括一项概念验证可行性研究，评估整合的虚拟双胞胎和CDSS在临床环境中的效用。