Biography and Research Information
OverviewAI-generated summary
Nicholas Callais' research investigates the application of machine learning in medical diagnostics, specifically focusing on virtual biopsy systems for kidney transplant centers. His work has explored how such systems might influence organ discards in aggressive transplant settings. Callais has co-authored publications with Allison Wells at the University of Arkansas for Medical Sciences, with whom he shares two collaborative works. His scholarship metrics include an h-index of 1, with a total of 2 publications and 4 citations. His most recent publication was in 2024, indicating recent activity in his research area.
Metrics
- h-index: 1
- Publications: 3
- Citations: 4
Selected Publications
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L15. T Cell-Specific Loss of DNA-PKcs Enhances Allogeneic Cardiac Graft Survival (2026)
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Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers (2024)
Collaboration Network
Top Collaborators
Emmanouil Giorgakis
2 shared publications
- Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
- Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
Hailey Hardgrave
University of North Carolina at Chapel Hill (US)
2 shared publications
- Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
- Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
Allison Wells
2 shared publications
- Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
- Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
Similar Researchers
Based on overlapping research topics
Allison Wells
University of Arkansas for Medical Sciences
Organ Transplantation Techniques and Outcomes
Healthcare Policy and Management
Machine Learning Applications
Amanda Stevens
University of Arkansas for Medical Sciences
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Healthcare Policy and Management
Fred Prior
University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging
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Machine Learning Applications
Shweta Dabetwar
University of Arkansas at Little Rock
Radiomics and Machine Learning in Medical Imaging
Healthcare Policy and Management
Joshua Byron Smith
University of Arkansas at Fayetteville
Organ Transplantation Techniques and Outcomes
Healthcare Policy and Management
Henry Lobo
University of Arkansas for Medical Sciences
Organ Transplantation Techniques and Outcomes
Healthcare Policy and Management