Anas Alshwayat

Researcher

University of Arkansas for Medical Sciences

unknown

1 h-index 4 pubs 37 cited

Research Areas

Advanced Neural Network Applications Cancer Genomics and Diagnostics Pharmacological Effects and Toxicity Studies Diet and metabolism studies Health and Medical Research Impacts Healthcare Systems and Technology Dental Education, Practice, Research Biomedical and Engineering Education

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OverviewAI-generated summary

Anas Alshwayat's research focuses on developing data-driven tools for personalized medicine and understanding complex health conditions. He has contributed to studies on the mathematical modeling of medical conditions, such as overcorrection of hyponatremia, and has investigated the broad therapeutic applications of medications like semaglutide. Alshwayat also works on the application of machine learning to predict patient survival outcomes in specific cancers, exemplified by his work on chromophobe renal cell carcinoma. His scholarship metrics include an h-index of 1, with 4 total publications and 37 citations. He has collaborated with Krishna Vani Nemalidinne and Abinay Siva kumar Reddy Vanteru, both from the University of Arkansas for Medical Sciences, on shared publications.

Metrics

h-index: 1
Publications: 4
Citations: 37

Selected Publications

Calculated Preemptive Strike: Solving Overcorrection of Hyponatremia with Math and Medicine (2025) DOI
The multifaceted effects of semaglutide: exploring its broad therapeutic applications (2025) DOI
Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool (2025) DOI
Stepwise Teamwork Approach Saves Patients Extensive Work-Up (2024) DOI