Artificial Intelligence Models Reveal Sex-Specific Gene Expression in Aortic Valve Calcification

Male and female aortic stenosis patients have distinct valvular phenotypes, increasing the complexities in the evaluation of valvular pathophysiology. In this study, we present cutting-edge artificial intelligence analyses of transcriptome-wide array data from stenotic aortic valves to highlight dif...

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Detalles Bibliográficos
Autores principales: Sarajlic, Philip, Plunde, Oscar, Franco-Cereceda, Anders, Bäck, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165113/
https://www.ncbi.nlm.nih.gov/pubmed/34095631
http://dx.doi.org/10.1016/j.jacbts.2021.02.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165113/
https://www.ncbi.nlm.nih.gov/pubmed/34095631
http://dx.doi.org/10.1016/j.jacbts.2021.02.005

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