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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19

Lookup NU author(s): Dr Chris Kotanidis

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Kotanidis C, Xie C, Alexander D, Rodrigues JCL, Burnham K, Mentzer A, O'Connor D, Knight J, Knight J, Siddique M, Lockstone H, Thomas S, Kotronias R, Oikonomou EK, Badi I, Lyasheva M, Shirodaria C, Lumley SF, Constantinides B, Sanderson N, Rodger G, Chau KK, Lodge A, Tsakok M, Gleeson F, on behalf of the COMBAT Consortium

Publication type: Article

Publication status: Published

Journal: The Lancet Digital Health

Year: 2022

Volume: 4

Issue: 10

Pages: e705-e716

Print publication date: 01/10/2022

Online publication date: 26/08/2022

Acceptance date: 26/08/2022

Date deposited: 26/06/2023

ISSN (print): 0140-6736

ISSN (electronic): 1474-547X

Publisher: Elsevier

URL: https://doi.org/10.1016/S2589-7500(22)00132-7

DOI: 10.1016/S2589-7500(22)00132-7

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Funding

Funder referenceFunder name
British Heart Foundation
EPSRC
Innovate UK
NIHR Oxford Biomedical Research Centre
Onassis Foundation
Oxford BHF Centre of Research Excellence
Wellcome Trust

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