Machine Learning Analysis of the Cerebrovascular Thrombi Proteome in Human Ischemic Stroke: An Exploratory Study

Machine Learning Analysis of the Cerebrovascular Thrombi Proteome in Human Ischemic Stroke: An Exploratory Study

Objective: Mechanical retrieval of thrombotic material from acute ischemic stroke patients provides a unique entry point for translational research investigations. Here, we resolved the proteomes of cardioembolic and atherothrombotic cerebrovascular human thrombi and applied an artificial intelligen...

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Bibliographic Details
Main Authors: Cyril Dargazanli, Emma Zub, Jeremy Deverdun, Mathilde Decourcelle, Frédéric de Bock, Julien Labreuche, Pierre-Henri Lefèvre, Grégory Gascou, Imad Derraz, Carlos Riquelme Bareiro, Federico Cagnazzo, Alain Bonafé, Philippe Marin, Vincent Costalat, Nicola Marchi
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Neurology
Subjects:
stroke
thrombus
cerebrovascular
mechanical thrombectomy
proteome
support vector machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2020.575376/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2020.575376/full

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