Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

A European network to develop virtual twin technology for personalized stroke management in atrial fibrillation: the TARGET consortium

Ortega-Martorell, S, Olier, I and Lip, GYH (2024) A European network to develop virtual twin technology for personalized stroke management in atrial fibrillation: the TARGET consortium. European Heart Journal. ISSN 0195-668X

[img] Text
A European network to develop virtual twin technology for personalized stroke management in atrial fibrillation the TARGET consortium.pdf - Accepted Version
Restricted to Repository staff only until 20 November 2025.

Download (319kB)

Abstract

Atrial fibrillation (AF) is a prevalent heart arrhythmia that increases stroke risk, leading to severe complications, high costs, and poor recovery outcomes. To address this, the European Union’s Horizon Europe research programme has funded the TARGET project to develop personalized stroke management strategies for AF-related stroke (AFRS) patients. To achieve this, TARGET will capitalize on the power of artificial intelligence (AI), virtual twin technologies, and in silico trials and will further advance the work in the direction of the personalization of care.

Item Type: Article
Additional Information: This is a pre-copyedited, author-produced version of an article accepted for publication in European Heart Journal following peer review. The version of record Sandra Ortega-Martorell, Ivan Olier, Gregory Y H Lip, TARGET consortium , on behalf of the, A European network to develop virtual twin technology for personalized stroke management in atrial fibrillation: the TARGET consortium, European Heart Journal, 2024;, ehae673, https://doi.org/10.1093/eurheartj/ehae673 is available online at: https://doi.org/10.1093/eurheartj/ehae673
Uncontrolled Keywords: 1102 Cardiorespiratory Medicine and Haematology; 1103 Clinical Sciences; Cardiovascular System & Hematology
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Computer Science and Mathematics
Nursing and Advanced Practice
Publisher: Oxford University Press
SWORD Depositor: A Symplectic
Date Deposited: 20 Nov 2024 16:42
Last Modified: 20 Nov 2024 16:45
DOI or ID number: 10.1093/eurheartj/ehae673
URI: https://researchonline.ljmu.ac.uk/id/eprint/24828
View Item View Item