Ayesan Rewane
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Also affiliated: Rush University Medical Center (2020–2021); Rush University (2021)
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Ayesan Rewane's research has focused on immune responses to SARS-CoV-2, particularly antibody formation following vaccination. Rewane has investigated the impact of BNT162b2 vaccine doses on antibody levels in individuals with and without prior COVID-19 infection. Their work also includes exploring in silico clinical trials for COVID-19 and examining cellular respiration patterns in platelets and peripheral blood mononuclear cells of patients with chronic kidney disease. Other areas of Rewane's published work include the effects of exercise on obesity, mobile health approaches for disease surveillance in Africa, and the Bacillus Calmette Guerin vaccine. Rewane's scholarship metrics include an h-index of 4, with 11 total publications and 76 citations.
Metrics
- h-index: 4
- Publications: 11
- Citations: 76
Selected Publications
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Detection of Cellular Respiration Pattern of Platelets and Peripheral Blood Mononuclear Cells in CKD (2023)
Collaboration Network
Top Collaborators
- Bacillus Calmette Guerin
- Bacillus Calmette Guerin
- Exercise and Fitness Effect On Obesity
- Exercise and Fitness Effect On Obesity
- Herpes Virus Type 8
- Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool
- Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool
- Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool
- Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool
- Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool
- Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool
- Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool
- Interpretable machine learning approach for predicting COVID-19 risk status of an individual
- Interpretable machine learning approach for predicting COVID-19 risk status of an individual
- Vancomycin-Resistant Enterococci
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