A machine learning-derived gene signature for assessing rupture risk and circulatory immunopathologic landscape in patients with intracranial aneurysms

BACKGROUND: Intracranial aneurysm (IA) is an uncommon but severe subtype of cerebrovascular disease, with high mortality after aneurysm rupture. Current risk assessments are mainly based on clinical and imaging data. This study aimed to develop a molecular assay tool for optimizing the IA risk monit...

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Detalles Bibliográficos
Autores principales: Lu, Taoyuan, He, Yanyan, Liu, Zaoqu, Ma, Chi, Chen, Song, Jia, Rufeng, Duan, Lin, Guo, Chunguang, Liu, Yiying, Guo, Dehua, Li, Tianxiao, He, Yingkun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950511/
https://www.ncbi.nlm.nih.gov/pubmed/36844725
http://dx.doi.org/10.3389/fcvm.2023.1075584

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950511/
https://www.ncbi.nlm.nih.gov/pubmed/36844725
http://dx.doi.org/10.3389/fcvm.2023.1075584

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