Anas Alshwayat

Researcher

Last publication 2025 Last refreshed 2026-05-16

unknown

2 h-index 4 pubs 43 cited

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

  • Calculated Preemptive Strike: Solving Overcorrection of Hyponatremia with Math and Medicine (2025)
  • The multifaceted effects of semaglutide: exploring its broad therapeutic applications (2025)
    2 citations DOI OpenAlex
  • Personalized survival predictions in chromophobe renal cell carcinoma: development of a machine learning-based web tool (2025)
  • Urine Chemistry: A Valuable Link Binding Kidney Physiology to Patient Care (2024)
  • Stepwise Teamwork Approach Saves Patients Extensive Work-Up (2024)

View all publications on OpenAlex →

Collaboration Network

20 Collaborators 12 Institutions 5 Countries

Top Collaborators

Similar Researchers

Based on overlapping research topics