Biography and Research Information
OverviewAI-generated summary
Prasanth Sadaram's research focuses on the gut microbiome and its alterations following allogeneic hematopoietic stem cell transplantation (AlloSCT). His work also investigates components of the hematopoietic niche after this type of transplant. Sadaram has one publication, co-authored with collaborators including Michael S. Robeson, Michael Scott Robeson, Akash Mukherjee, and Ginell R. Post, all from the University of Arkansas for Medical Sciences. His most recent publication dates to 2024, indicating recent activity in his research endeavors.
Metrics
- h-index: 1
- Publications: 1
- Citations: 4
Selected Publications
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Integrating artificial intelligence with circulating tumor DNA for non-small cell lung cancer: opportunities, challenges, and future directions (2025)
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Gut Microbiome Diversity and Composition Changes Post Allogeneic Hematopoietic Stem Cell Transplant (AlloSCT): A Single-Center Prospective Analysis (2024)
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Analysis of Hematopoietic Niche Components Post Allogeneic Transplantation (2021)
Collaboration Network
Top Collaborators
Michael Scott Robeson
University of Arkansas for Medical Sciences (US)
1 shared publication
- Gut Microbiome Diversity and Composition Changes Post Allogeneic Hematopoietic Stem Cell Transplant (AlloSCT): A Single-Center Prospective Analysis
Cesar Gentille Sanchez
University of Arkansas for Medical Sciences (US)
1 shared publication
- Gut Microbiome Diversity and Composition Changes Post Allogeneic Hematopoietic Stem Cell Transplant (AlloSCT): A Single-Center Prospective Analysis
Muthu Sendhil Kumaran
University of Arkansas for Medical Sciences (US)
1 shared publication
- Gut Microbiome Diversity and Composition Changes Post Allogeneic Hematopoietic Stem Cell Transplant (AlloSCT): A Single-Center Prospective Analysis
Akash Mukherjee
University of Arkansas for Medical Sciences
1 shared publication
In database
- Gut Microbiome Diversity and Composition Changes Post Allogeneic Hematopoietic Stem Cell Transplant (AlloSCT): A Single-Center Prospective Analysis
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