Research

Recent Publications and Tools (selected)

1. Upcoming Tool: Imputation for Electronic Health Records (EHR)

2. Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches

3. Dissecting Polygenic Etiology of Ischemic Stroke in the Era of Precision Medicine

4. Stroke genetics informs drug discovery and risk prediction across ancestries

5. Contribution of Common Genetic Variants to Risk of Early Onset Ischemic Stroke.

6. Genetic Contributions to Early and Late Onset Ischemic Stroke

7. Comparison of Long-Term Outcomes and Associated Factors between Younger and Older Rural Ischemic Stroke Patients

8. Long-term mortality in ischemic stroke patients with concomitant chronic obstructive pulmonary disease

9. A Simple Review of Small Vessel Disease Manifestation in the Brain, Retina, and Kidneys

10. Intravenous thrombolysis in ischemic stroke patients with a prior intracranial hemorrhage: a meta-analysis

11. Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine

12. CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke

13. Dataset on acute stroke risk stratification from CT angiographic radiomics

14. Risk of Subsequent Stroke Among Patients Receiving Outpatient vs Inpatient Care for Transient Ischemic Attack: A Systematic Review and Meta-analysis

15. Imputation of missing values for electronic health record laboratory data — link to GitHub

16. Lack of Sex Disparity in Oral Anticoagulation in Atrial Fibrillation Patients Presenting with Ischemic Stroke in a Rural Population

17. At the Intersection of Gut Microbiome and Stroke: A Systematic Review of the Literature

18. Sex-specific association of RAGE and HMGB1 genotype variations with susceptibility to ischemic stroke in Caucasians

19. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

20. “Lessons Learned” Preventing Recurrent Ischemic Strokes through Secondary Prevention Programs: A Systematic Review

21. Predicting short and long-term mortality after acute ischemic stroke using EHR — link to GitHub

22. NIHSS 24 h After Mechanical Thrombectomy Predicts 90-Day Functional Outcome

23. Outcomes of Mechanical Thrombectomy in the Early ( <6-hour) and Extended (≥6-hour) Time Window Based Solely on Noncontrast CT and CT Angiography: A Propensity Score-Matched Cohort Study

24. Mechanical Thrombectomy for Anterior versus Posterior Circulation Large Vessel Occlusion Stroke with Emphasis on Posterior Circulation Outcomes

25. The effect of levetiracetam treatment on survival in patients with glioblastoma: a systematic review and meta-analysis

26. Changes in Stroke Hospital Care During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

27. Safety and Outcomes of Intravenous Thrombolytic Therapy in Ischemic Stroke Patients with COVID-19: CASCADE Initiative

28. Long-term side effects and lingering symptoms post COVID-19 recovery

29. MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes

30. Excessive White Matter Hyperintensity Increases Susceptibility to Poor Functional Outcomes After Acute Ischemic Stroke

31. Outcome Following Mechanical Thrombectomy for Anterior Circulation Large Vessel Occlusion Stroke in the Elderly

32. Outcome after acute ischemic stroke is linked to sex-specific lesion patterns.

33. Implementation and Follow-up Experience of an e-Consult Program in a Rural Neurology Setting

34. Contrast-Induced Encephalopathy after Cerebral Angiogram: A Case Series and Review of Literature

35. SARS-CoV-2 and Stroke Characteristics: A Report From the Multinational COVID-19 Stroke Study Group

36. GDF-15: Diagnostic, prognostic, and therapeutic significance in glioblastoma multiforme

37. Serial magnetic resonance imaging findings during severe attacks of familial hemiplegic migraine type 2: a case report

38. Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients — link to GitHub

39. Genetic basis of lacunar stroke: a pooled analysis of individual patient data and genome-wide association studies

40. Prediction of Long-Term Stroke Recurrence Using Machine Learning Models — link to GitHub

41. Polygenic Risk Scores Augment Stroke Subtyping

42. Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records

43. Adherence to anticoagulant guideline for atrial fibrillation: A large care gap among stroke patients in a rural population

44. Trends in ischemic stroke outcomes in a rural population in the United States

45. Stroke in SARS-CoV-2 Infection: A Pictorial Overview of the Pathoetiology

46. SARS-CoV-2 Is a Culprit for Some, but Not All Acute Ischemic Strokes: A Report from the Multinational COVID-19 Stroke Study Group

47. Obesity and mortality after the first ischemic stroke: Is obesity paradox real?

48. Predictors of Post-Stroke Depression: A Retrospective Cohort Study

49. Early Detection of Septic Shock Onset Using Interpretable Machine Learners — link to GitHub

50. Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019

51. Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications

52. Increasing the Density of Laboratory Measures for Machine Learning Applications

53. Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study

54. Cysteine-Altering NOTCH3 Variants Are a Risk Factor for Stroke in the Elderly Population

55. Replication of Top Loci From COL4A1/2 Associated With White Matter Hyperintensity Burden in Patients With Ischemic Stroke

56. Effects of White Matter Hyperintensities on 90-Day Functional Outcome after Large Vessel and Non-Large Vessel Stroke

57. A 5-Decade Analysis of Incidence Trends of Ischemic Stroke After Transient Ischemic Attack: A Systematic Review and Meta-analysis

58. Using Artificial Intelligence for Improving Stroke Diagnosis in Emergency Departments: A Practical Framework

59. Sex Disparity in Long-term Stroke Recurrence and Mortality in a Rural Population in the United States

60. Risk of Stroke in Hospitalized SARS-CoV-2 Infected Patients: A Multinational Study

61. Social Determinants of Stroke Hospitalization and Mortality in United States' Counties

62. Racial, Economic, and Health Inequality and COVID-19 Infection in the United States

63. COVID‐19: Neuroimaging Features of a Pandemic

64. Artificial Intelligence Transforms the Future of Health Care

65. A Predictive Analytics Model for Differentiating Between Transient Ischemic Attacks (TIA) and Its Mimics

66. Novel Screening Tool for Stroke Using Artificial Neural Network

67. CADASIL Versus Multiple Sclerosis: Is It Misdiagnosis or Concomitant? A Case Series

68. Safety of Intravenous Thrombolysis Among Patients Taking Direct Oral Anticoagulants: A Systematic Review and Meta-Analysis

69. FABS: An Intuitive Tool for Screening of Stroke Mimics in the Emergency Department

70. Fast-Track Long Term Continuous Heart Monitoring in a Stroke Clinic: A Feasibility Study

71. Six-Month Outcome of Transient Ischemic Attack and Its Mimics

72. Rate and associated factors of transient ischemic attack misdiagnosis

73. Microbleed prevalence and burden in anticoagulant-associated intracerebral bleed

74. Deep ensemble network for quantification and severity assessment of knee osteoarthritis

75. Uncommon Causes of Cerebral Microbleeds

76. Cerebral Microbleeds are Associated with Higher Mortality Among Ischemic Stroke Patients

77. Cerebral Microbleeds and Risk of Intracerebral Hemorrhage Post Intravenous Thrombolysis

78. Dissecting Genetic Factors Affecting Phenylephrine Infusion Rates During Anesthesia: A Genome-Wide Association Study Employing EHR Data

79. Long-term Outcome of Resuming Anticoagulation After Anticoagulation-Associated Intracerebral Hemorrhage

80. Magnetic Resonance Imaging Characteristics of Hyperacute Intracerebral Hemorrhage

81. Malnutrition, Health and the Role of Machine Learning in Clinical Setting

82. Challenges in Personalized Nutrition and Health

83. Recognition of Stroke Warning Signs and Risk Factors Among Rural Population in Central Pennsylvania

84. Racial Difference in Cerebral Microbleed Burden Among a Patient Population in the Mid-South United States

85. Clinical Risk Score for Predicting Recurrence Following a Cerebral Ischemic Event

86. Classification of Short Single-Lead Electrocardiograms (ECGs) for Atrial Fibrillation Detection Using Piecewise Linear Spline and XGBoost

87. High-resolution Computational Modeling of Immune Responses in the Gut

88. Internet-based Information-Seeking Behavior for Transient Ischemic Attack

89. An automated framework for hypotheses generation using literature

90. Safety of Intravenous Thrombolysis in Chronic Intracranial Hemorrhage: A Five-Year Multicenter Study

91. Risk of Symptomatic Intracerebral Hemorrhage After Intravenous Thrombolysis in Patients With Acute Ischemic Stroke and High Cerebral Microbleed Burden: A Meta-analysis

92. Fluid-Attenuated Inversion Recovery (FLAIR) Signal Intensity Can Identify Stroke Within 6 and 8 Hours

93. Potential Roles of Adropin in Central Nervous System: Review of Current Literature

94. Empirical study using network of semantically related associations in bridging the knowledge gap.

95. Modeling the mechanisms by which HIVAssociated immunosuppression influences HPV persistence at the Oral Mucosa

96. Modeling new immunoregulatory therapeutics as antimicrobial alternatives for treating Clostridium difficile infection

97. Safety of Intravenous Thrombolysis Among Stroke Patients Taking New Oral Anticoagulants--Case Series and Systematic Review of Reported Cases

98. Estimating the stochastic bifurcation structure of cellular networks.

99. Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection.

100. Quantitative epistasis analysis and pathway inference from genetic interaction data.

101. Agent-Based Modeling and High Performance Computing

102. Cost Burden of Stroke Mimics and Transient Ischemic Attack After Intravenous Tissue Plasminogen Activator Treatment

103. Safety of Intravenous Thrombolysis in Stroke Mimics: Prospective 5-year Study and Comprehensive Meta-Analysis

104. Safety of a "Drip and Ship" Intravenous Thrombolysis Protocol for Patients With Acute Ischemic Stroke

A complete list of publications can be found at:
https://pennstate.pure.elsevier.com/en/persons/vida-abedi
https://pennstate.pure.elsevier.com/en/persons/ramin-zand

Funding Support (selected)

Machine Learning Prediction of 1-Year Mortality and Recurrence after Ischemic Stroke Using Enriched EHR data

This project seeks to expand and improve predictive models through the creative use of vetted EHR data for ischemic stroke patients from three large and different health systems (Penn State Health, Geisinger, and Johns Hopkins), caring for more than eight million people in rural and urban areas. This project will also further explore the predictive value of social determinants of health (SDoH) when added to the clinical data. This study is funded by National Institute of Neurological Disorders and Stroke to Dr. Abedi and Dr. Zand.

Current and future physicians’ knowledge, attitudes, and perspectives on the adoption of AI in clinical workflow

This study will explore the knowledge, attitudes, and perspectives of current and future physicians toward AI to clarify how to integrate AI-empowered clinical decision support systems (CDSS) more effectively into the clinical workflow for better adoption to meet user needs and expectations. This study is funded by the CTSI Bridges to Translation VIII Pilot Project to Dr. Abedi (Contact-PI), Dr. Wagner (Co-PI), and Dr. Zand (Co-PI).

An Interdisciplinary Approach to Improving the Management of Patients with Atrial Fibrillation

The goal of this project to develop a data-driven strategy and a coordinated clinical work-flow implementation to improve patient adherence to atrial fibrillation medication to mitigate the risk for stroke. This study is funded by the Heart Rhythm Society (HRS) to Dr. Zand (PI) and Dr. Abedi (co-Investigator).

Early Diagnosis and Treatment of Sleep Apnea after Stroke: collaboration between Neuroscience and Sleep Medicine

The goal of this project is to pilot our novel screening and diagnosis process in an inpatient setting as
part of the new comprehensive stroke program in Geisinger Wyoming Valley Medical Center (GWV). This study is supported by Geisinger Health Plan Quality Pilot Fund to Drs. Naik and Zand.

Novel screening tool for stroke Prediction using Machine Learning

The goal of this project is to develop, fine-tune and implement an optimized ML-based model for stroke prediction in EHR, based on our pilot study performed at University of Tennessee Health Science Center (UTHSC) and Virginia Tech. This industry supported project is led by Drs. Zand and Abedi.

Piloting a multi-dimensional stability model to support shared decision making for lifestyle modification among TIA and stroke patients: A feasibility study

The goal of this project is to develop a model of shared decision making using optimization algorithms, in collaboration with Drs. Stanciu and Banciu (Bucknell University). This study is supported by the Bucknell Geisinger Research Initiative Fund to Drs. Zand and Stanciu.

A Pilot Study: Single Gene Variants for Cerebral Small Vessel Disease Among MyCode Patients with Multiple Sclerosis Diagnosis: Could it be a Misdiagnosis?

The goal of this multi-stage study is to explore genetics of patients with multiple sclerosis. This study is supported by the Geisinger Clinic Research Fund to Dr. Zand.

Electronic Health Record Data and Predictive Analytic Methods for Heart Failure.

The goal of this project is to expand on previous work and develop accurate, generalizable and interpretable predictive models that rely on electronic health records to detect heart failure in primary care patients. Funded by NIH/NILBI to Dr. Yan (Sutter Health) and sub-awarded to Dr. Abedi, leading in part the machine learning strategy. 

Computational Modeling of Immune Responses to C. Difficile for Predicting Therapeutic Efficacy.

The goal is to develop computational and mathematical models of the immune response to C. difficile infection.  C. difficile will be used as a proof-of-concept organism to design large-scale computational models that facilitate a system-wide analysis and accelerated identification of host and pathogen factors critical to overcome the infections. This project is funded by the Defense Threat Reduction Agency (DTRA) to Nutritional Immunology and Molecular Medicine Laboratory and sub-awarded to Dr. Abedi. Link to study: https://nimml.org/projects/dtra

Preclinical Models of Infectious Diseases.

Projects will be defined as Task Orders with varying duration with the goal of developing Alternative preclinical models (Pig models and Computational models) of infectious diseases. Contract Type: Indefinite Delivery/Indefinite Quantity (NIH/NIAID). This project is funded to Nutritional Immunology and Molecular Medicine Laboratory and sub-awarded to Dr. Abedi as the Bioinformatician Lead. Link to study: https://nimml.org/projects/idiq  

A System-Wide TIA Clinic: A Pragmatic Approach to Transient Ischemic Attacks and Minor Strokes.

The goal of this project is to expand the TIA clinic to a system-wide program within the Geisinger system, include minor stroke patients, and closely monitor the safety and quality of care. We also aim at using System Dynamics approaches to optimize the TIA clinic workflow and to further improve the quality of care, enhance patients’ satisfaction, and reduce the cost. This study is supported by Geisinger Health Plan Quality Pilot Fund to Dr. Zand.

An intuitive tool for risk stratification of transient ischemic attack in the Emergency Department. (completed)

The goal of this study is to use prospectively collected data from our TIA clinic and the ED in Geisinger to develop an intuitive TIA risk stratification tool in an ED setting using advanced predictive modeling. This study is supported by the Bucknell Geisinger Research Initiative to Drs. Zand and Banciu.

Center for modeling immunity to enteric pathogens. (completed)

The major goal of this award is to create mathematical/computational models of how the human immune system responds to infection by pathogens of the gut. Dr. Abedi was the Bioinformatics/Modeling Lead while serving as faculty at Virginia Tech. Link to study: https://modelingimmunity.org/