Overcoming cohort heterogeneity for the prediction of subclinical cardiovascular disease risk-Reference-Cited by-同舟云学术

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Overcoming cohort heterogeneity for the prediction of subclinical cardiovascular disease risk

Published:2023-05 Issue:5 Volume:26 Page:106633
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Chan Adam S.^ORCID,Wu Songhua,Vernon Stephen T.,Tang Owen,Figtree Gemma A.,Liu Tongliang,Yang Jean Y.H.,Patrick Ellis^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference69 articles.

1. Global burden of cardiovascular diseases and risk factors, 1990-2019: update from the GBD 2019 study;Roth;J. Am. Coll. Cardiol.,2020

2. Coronary artery disease patients without standard modifiable risk factors (SMuRFs)- a forgotten group calling out for new discoveries;Figtree;Cardiovasc. Res.,2021

3. Utilizing state-of-the-art “omics” technology and bioinformatics to identify new biological mechanisms and biomarkers for coronary artery disease;Vernon;Microcirculation,2019

4. Biobanking for discovery of novel cardiovascular biomarkers using imaging-quantified disease burden: protocol for the longitudinal, prospective, BioHEART-CT cohort study;Kott;BMJ Open,2019

5. Metabolic signatures in coronary artery disease: results from the BioHEART-CT study;Vernon;Cells,2021

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1. Construction and optimization of multi-platform precision pathways for precision medicine;2023-05-24

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