Abstract 2532: Innovative label-free and non-invasive urinary metabolite analysis integrating AI and SERS technology for early cancer detection: A retrospective clinical study involving five cancer types
Year: 2026
Type: conference-abstract
Source: Cancer Research
Authors: Jeehee Kim, Hyungseok Choi, Eun Hye Koh, Thi Nhat Linh Vo, Geo Ryu, Eun Been Lee, Daekeon Kwon, Soohyun Lew, Si Young Song
Institution: Yonsei University
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: closed
OpenAlex ID: W7148803400