Differentiation between Descending Thoracic Aortic Diseases using Machine Learning and Plasma Proteomic Signatures

BACKGROUND: Descending thoracic aortic aneurysms and dissections can go undetected until severe and catastrophic, and few clinical indices exist to screen for aneurysms or predict risk of dissection. METHODS: This study generated a plasma proteomic dataset from 75 patients with descending type B dis...

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Detalles Bibliográficos
Autores principales: Momenzadeh, Amanda, Kreimer, Simion, Guo, Dongchuan, Ayres, Matthew, Berman, Daniel, Chyu, Kuang-Yuh, Shah, Prediman K, Milewicz, Dianna, Azizzadeh, Ali, Meyer, Jesse G., Parker, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168345/
https://www.ncbi.nlm.nih.gov/pubmed/37162892
http://dx.doi.org/10.1101/2023.04.26.538468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168345/
https://www.ncbi.nlm.nih.gov/pubmed/37162892
http://dx.doi.org/10.1101/2023.04.26.538468

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