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Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures.

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Title: Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures.
Authors: Momenzadeh, Amanda1,2,3 (AUTHOR), Kreimer, Simion2,3 (AUTHOR), Guo, Dongchuan4 (AUTHOR), Ayres, Matthew2 (AUTHOR), Berman, Daniel3,5 (AUTHOR), Chyu, Kuang-Yuh3 (AUTHOR), Shah, Prediman K.3 (AUTHOR), Milewicz, Dianna4 (AUTHOR), Azizzadeh, Ali3 (AUTHOR), Meyer, Jesse G.1,2,3 (AUTHOR) jesse.meyer@cshs.org, Parker, Sarah2,3,6 (AUTHOR) sarah.parker@cshs.org
Source: Clinical Proteomics. 6/2/2024, Vol. 21 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures.
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              Text: 6/2/2024
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