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Updated: May 5, 2026

Modeling Stroke in Mice - Middle Cerebral Artery Occlusion with the Filament Model
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用分子和机器学习方法改善中风结果预测,用于大血管阻塞

Madhusmita Rout1, April Vaughan2, Evgeny V Sidorov2

  • 1Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.

Journal of clinical medicine
|October 16, 2024
PubMed
概括

这项研究表明,特定的循环miRNA和代谢物可以预测大血管封闭 (LVO) 患者中风的结果. 将这些分子标记物与临床数据相结合,可显著提高急性缺血性中风 (AIS) 的预测准确度.

关键词:
心脏病发作的体积,心脏病发作的体积.大型船只的封闭机器学习是机器学习.代谢产物的代谢产物微RNAs 是一个微型RNA.结果结果结果结果.

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