Now showing items 1-7 of 7

    • Clinical Risk Score for Predicting Recurrence Following a Cerebral Ischemic Event 

      Chaudhary, Durgesh; Abedi, Vida; Li, Jiang; Schirmer, Clemens M.; Griessenauer, Christoph J.; Zand, Ramin (2019-11-12)
      Introduction: Recurrent stroke has a higher rate of death and disability. A number of risk scores have been developed to predict short-term and long-term risk of stroke following an initial episode of stroke or transient ...
    • Empirical study using network of semantically related associations in bridging the knowledge gap 

      Abedi, Vida; Yeasin, Mohammed; Zand, Ramin (2014-11-27)
      Background The data overload has created a new set of challenges in finding meaningful and relevant information with minimal cognitive effort. However designing robust and scalable knowledge discovery systems remains a ...
    • Modeling the Mechanisms by Which HIV Associated Immunosuppression Influences HPV Persistence at the Oral Mucosa 

      Verma, Meghna; Erwin, Samantha; Abedi, Vida; Hontecillas, Raquel; Hoops, Stefan; Leber, Andrew; Bassaganya-Riera, Josep; Ciupe, Mihaela Stanca (PLOS, 2017-01-06)
      Human immunodeficiency virus (HIV)-infected patients are at an increased risk of co-infection with human papilloma virus (HPV), and subsequent malignancies such as oral cancer. To determine the role of HIV-associated immune ...
    • A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimics 

      Stanciu, Alia; Banciu, Mihai; Sadighi, Alireza; Marshall, Kyle A.; Holland, Neil R.; Abedi, Vida; Zand, Ramin (2020-06-18)
      Background Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors ...
    • SARS-CoV-2 Is a Culprit for Some, but Not All Acute Ischemic Strokes: A Report from the Multinational COVID-19 Stroke Study Group 

      Shahjouei, Shima; Anyaehie, Michelle; Koza, Eric; Tsivgoulis, Georgios; Naderi, Soheil; Mowla, Ashkan; Avula, Venkatesh; Vafaei Sadr, Alireza; Chaudhary, Durgesh; Farahmand, Ghasem; Griessenauer, Christoph; Azarpazhooh, Mahmoud Reza; Misra, Debdipto; Li, Jiang; Abedi, Vida; Zand, Ramin (2021-03)
      Background. SARS-CoV-2 infected patients are suggested to have a higher incidence of thrombotic events such as acute ischemic strokes (AIS). This study aimed at exploring vascular comorbidity patterns among SARS-CoV-2 ...
    • Trends in ischemic stroke outcomes in a rural population in the United States 

      Chaudhary, Durgesh; Khan, Ayesha; Shahjouei, Shima; Gupta, Mudit; Lambert, Clare; Avula, Venkatesh; Schirmer, Clemens M.; Holland, Neil; Griessenauer, Christoph J.; Azarpazhooh, M. Reza; Li, Jiang; Abedi, Vida; Zand, Ramin (2021-03-15)
      Introduction: The stroke mortality rate has gradually declined due to improved interventions and controlled risk factors. We investigated the associated factors and trends in recurrence and all-cause mortality in ischemic ...
    • Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework 

      Abedi, Vida; Khan, Ayesha; Chaudhary, Durgesh; Misra, Debdipto; Avula, Venkatesh; Mathrawala, Dhruv; Kraus, Chadd; Marshall, Kyle A.; Chaudhary, Nayan; Li, Xiao; Schirmer, Clemens M.; Scalzo, Fabien; Li, Jiang; Zand, Ramin (2020-08)
      Stroke is the fifth leading cause of death in the United States and a major cause of severe disability worldwide. Yet, recognizing the signs of stroke in an acute setting is still challenging and leads to loss of opportunity ...