Biography and Research Information
OverviewAI-generated summary
Anas Alshwayat's research focuses on the application of machine learning to predict patient outcomes, particularly in the context of cancer. His recent work includes the development of a machine learning-based web tool for personalized survival predictions in chromophobe renal cell carcinoma. Alshwayat also investigates broader medical topics, such as the therapeutic applications of semaglutide and strategies for managing hyponatremia. His scholarship metrics include an h-index of 2 with 4 total publications and 40 citations. He has collaborated with researchers at the University of Arkansas for Medical Sciences, including Nithin Karakala, Anas Radi Issa Alshwayat, Lean Alkhatib, and Krishna Vani Nemalidinne, on shared publications.
Metrics
- h-index: 2
- Publications: 4
- Citations: 43
Selected Publications
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Calculated Preemptive Strike: Solving Overcorrection of Hyponatremia with Math and Medicine (2025)
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The multifaceted effects of semaglutide: exploring its broad therapeutic applications (2025)
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Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool (2025)
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Urine Chemistry: A Valuable Link Binding Kidney Physiology to Patient Care (2024)
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Stepwise Teamwork Approach Saves Patients Extensive Work-Up (2024)
Collaboration Network
Top Collaborators
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- The multifaceted effects of semaglutide: exploring its broad therapeutic applications
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- The multifaceted effects of semaglutide: exploring its broad therapeutic applications
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool
- The multifaceted effects of semaglutide: exploring its broad therapeutic applications
- The multifaceted effects of semaglutide: exploring its broad therapeutic applications
- The multifaceted effects of semaglutide: exploring its broad therapeutic applications
- The multifaceted effects of semaglutide: exploring its broad therapeutic applications
- The multifaceted effects of semaglutide: exploring its broad therapeutic applications
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