E
Elizabeth Adeogun Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
2 h-index
3 pubs
10 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Elizabeth Adeogun's research investigates the physiological responses of animals, particularly chickens, to environmental stressors such as heat. Her work has explored the effects of heat stress on gene expression in leukocytes, including cytokines and inflammasomes, and the mechanical properties of red and white blood cells. Adeogun has also focused on developing novel sensing technologies for heat stress. This includes research on liquid crystal-based biomaterials and the application of machine learning to analyze micrographs of red blood cells for rapid heat stress detection. Her recent publications in this area include studies on gene expression changes and the development of machine learning-driven sensing platforms.
Metrics
- h-index: 2
- Publications: 3
- Citations: 10
Selected Publications
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A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning (2024)
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Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl (2022)
Collaboration Network
Top Collaborators
Karthik Nayani
University of Arkansas at Fayetteville
3 shared publications
In database
- Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
Sami Dridi
University of Arkansas at Fayetteville
3 shared publications
In database
- Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
Elizabeth S. Greene
2 shared publications
- Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
Prateek Verma
University of Arkansas at Fayetteville (US)
2 shared publications
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
Ukash Nakarmi
University of Arkansas at Fayetteville (US)
2 shared publications
- Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
Sara Orlowski
University of Arkansas at Fayetteville
1 shared publication
In database
- Effects of heat stress on cyto(chemo)kine and inflammasome gene expression and mechanical properties in isolated red and white blood cells from 4 commercial broiler lines and their ancestor jungle fowl
Elizabeth S. Greene
University of Arkansas at Fayetteville
1 shared publication
In database
- A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning
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