Ayesan Rewane
Researcher
Also affiliated: Rush University Medical Center (2020–2021); Rush University (2021)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ayesan Rewane's research has focused on the immune response to SARS-CoV-2, particularly in the context of vaccination. Rewane has investigated antibody formation in individuals who are infection-naive or previously infected after receiving one or two doses of the BNT162b2 vaccine. Additionally, Rewane has explored the application of mobile health technologies for disease surveillance, specifically referencing the Wellvis COVID triage tool in Africa. Other research interests include the effects of exercise and fitness on obesity, and the potential of in silico clinical trials for modeling COVID-19 infection. Rewane has also examined the detection of cellular respiration patterns in platelets and peripheral blood mononuclear cells in the context of chronic kidney disease (CKD) and explored interpretable machine learning approaches for predicting COVID-19 risk status. Rewane's work has resulted in 13 publications with 121 citations and an h-index of 4.
Metrics
- h-index: 4
- Publications: 13
- Citations: 121
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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