Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model
Our findings emphasize the potential of combining SERS with AI to detect and specifically identify dysfunction due to liver damage early, potentially advancing patient management in liver transplantation.
Authors
- Jung‐Man Namgoong (ORCID: https://orcid.org/0000-0002-9237-7440)
- Jun Ki Kim (ORCID: https://orcid.org/0000-0002-0099-9681)
- Hyunhee Kwon (ORCID: https://orcid.org/0000-0001-6647-9155)
- Kwan-Hee Lee (ORCID: https://orcid.org/0000-0002-9916-4931)
- Sanghwa Lee (ORCID: https://orcid.org/0000-0003-4850-1886)
- Suyeon Kang (ORCID: https://orcid.org/0000-0001-6506-3035)
- Jeongmin Oh (ORCID: https://orcid.org/0000-0002-9304-3346)
- Joonseup Hwang
- Kyeong Ryeol Kim
Institutions
- Ulsan College (KR)
- Asan Medical Center (KR)
- University of Ulsan (KR)
Publication Details
- Journal
- International Journal of Nanomedicine
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/ijn.s497900
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00