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Vida Abedi

Showing results (101-110 of 124) with videos related to

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Ophthalmology and Therapy|June 28, 2025
Identification of a Novel Subtype of Ocular Hypertensive Eyes with the Lowest Risk of Progression Under TreatmentAsma Poursoroush, Vida Abedi, Xiaoqin Huang, et al.
Stroke|April 26, 2017
Novel Screening Tool for Stroke Using Artificial Neural NetworkVida Abedi, Nitin Goyal, Georgios Tsivgoulis, et al.
Journal of the Neurological Sciences|February 16, 2021
Trends in ischemic stroke outcomes in a rural population in the United StatesDurgesh Chaudhary, Ayesha Khan, Shima Shahjouei, et al.
Frontiers in Cardiovascular Medicine|April 15, 2021
Stroke in SARS-CoV-2 Infection: A Pictorial Overview of the PathoetiologySaeideh Aghayari Sheikh Neshin, Shima Shahjouei, Eric Koza, et al.
Therapeutic Advances in Neurological Disorders|September 14, 2020
Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical frameworkVida Abedi, Ayesha Khan, Durgesh Chaudhary, et al.
Plos One|December 30, 2015
Modeling-Enabled Characterization of Novel NLRX1 LigandsPinyi Lu, Raquel Hontecillas, Vida Abedi, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|September 6, 2018
Genetic susceptibility to cerebrovascular disease: A systematic reviewChristoph J Griessenauer, Sean Farrell, Atom Sarkar, et al.
Frontiers in Immunology|April 12, 2021
Variants at the MHC Region Associate With Susceptibility to <i>Clostridioides difficile</i> Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health RecordsJiang Li, Yanfei Zhang, Alexandria L Jilg, et al.
Stroke|August 6, 2016
FABS: An Intuitive Tool for Screening of Stroke Mimics in the Emergency DepartmentNitin Goyal, Georgios Tsivgoulis, Shailesh Male, et al.
European Heart Journal. Digital Health|March 20, 2024
Development and internal validation of machine learning-based models and external validation of existing risk scores for outcome prediction in patients with ischaemic strokeDaniel Axford, Ferdous Sohel, Vida Abedi, et al.
Pageof 13

Showing results (101-110 of 124) with videos related to

Sort By:
Pageof 13
Ophthalmology and Therapy|June 28, 2025
Identification of a Novel Subtype of Ocular Hypertensive Eyes with the Lowest Risk of Progression Under TreatmentAsma Poursoroush, Vida Abedi, Xiaoqin Huang, et al.
Stroke|April 26, 2017
Novel Screening Tool for Stroke Using Artificial Neural NetworkVida Abedi, Nitin Goyal, Georgios Tsivgoulis, et al.
Journal of the Neurological Sciences|February 16, 2021
Trends in ischemic stroke outcomes in a rural population in the United StatesDurgesh Chaudhary, Ayesha Khan, Shima Shahjouei, et al.
Frontiers in Cardiovascular Medicine|April 15, 2021
Stroke in SARS-CoV-2 Infection: A Pictorial Overview of the PathoetiologySaeideh Aghayari Sheikh Neshin, Shima Shahjouei, Eric Koza, et al.
Therapeutic Advances in Neurological Disorders|September 14, 2020
Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical frameworkVida Abedi, Ayesha Khan, Durgesh Chaudhary, et al.
Plos One|December 30, 2015
Modeling-Enabled Characterization of Novel NLRX1 LigandsPinyi Lu, Raquel Hontecillas, Vida Abedi, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|September 6, 2018
Genetic susceptibility to cerebrovascular disease: A systematic reviewChristoph J Griessenauer, Sean Farrell, Atom Sarkar, et al.
Frontiers in Immunology|April 12, 2021
Variants at the MHC Region Associate With Susceptibility to <i>Clostridioides difficile</i> Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health RecordsJiang Li, Yanfei Zhang, Alexandria L Jilg, et al.
Stroke|August 6, 2016
FABS: An Intuitive Tool for Screening of Stroke Mimics in the Emergency DepartmentNitin Goyal, Georgios Tsivgoulis, Shailesh Male, et al.
European Heart Journal. Digital Health|March 20, 2024
Development and internal validation of machine learning-based models and external validation of existing risk scores for outcome prediction in patients with ischaemic strokeDaniel Axford, Ferdous Sohel, Vida Abedi, et al.
Pageof 13