Overcoming cohort heterogeneity for the prediction of subclinical cardiovascular disease risk

Cardiovascular disease remains a leading cause of mortality with an estimated half a billion people affected in 2019. However, detecting signals between specific pathophysiology and coronary plaque phenotypes using complex multi-omic discovery datasets remains challenging due to the diversity of ind...

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Detalles Bibliográficos
Autores principales: Chan, Adam S., Wu, Songhua, Vernon, Stephen T., Tang, Owen, Figtree, Gemma A., Liu, Tongliang, Yang, Jean Y.H., Patrick, Ellis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182278/
https://www.ncbi.nlm.nih.gov/pubmed/37192969
http://dx.doi.org/10.1016/j.isci.2023.106633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182278/
https://www.ncbi.nlm.nih.gov/pubmed/37192969
http://dx.doi.org/10.1016/j.isci.2023.106633

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