Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model.

Journal: International journal of nanomedicine
Published Date: Jan 1, 2025

Abstract

BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challenges such as graft dysfunction due to factors like ischemia-reperfusion (IR) injury, which can lead to significant cellular damage and systemic complications. Current diagnostic tools for detecting IR injury have limitations, necessitating advanced methods for timely intervention. This study explores the integration of surface-enhanced Raman spectroscopy (SERS) with artificial intelligence (AI) to improve diagnostic accuracy for liver IR injury.

Authors

  • Sanghwa Lee
    Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea.
  • Hyunhee Kwon
    Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
  • Jeongmin Oh
    Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
  • Kyeong Ryeol Kim
    Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
  • Joonseup Hwang
    Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
  • Suyeon Kang
    Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
  • Kwanhee Lee
    Department of Convergence Medicine, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.
  • Jung-Man Namgoong
    Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.
  • Jun Ki Kim
    Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea.

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