Fully connected neural network-based serum surface-enhanced Raman spectroscopy accurately identifies non-alcoholic steatohepatitis.

Feng GaoDe-Chan LuTian-Lei ZhengShi GengJun-Cheng ShaOu-Yang HuangLiang-Jie TangPei-Wu ZhuYang-Yang LiLi-Li ChenGiovanni TargherChristopher D ByrneZu-Fang HuangMing-Hua Zhengnull null

Published in: Hepatology international (2022)

Fully connected neural network-based serum SERS analysis is a rapid and practical tool for the non-invasive identification of NASH. The online calculator website for the estimated risk of NASH is freely available to healthcare providers and researchers ( http://www.pan-chess.cn/calculator/RAMAN_score ).

Keyphrases

neural network
raman spectroscopy
healthcare
health information
genome wide
social media
liver injury
squamous cell carcinoma
gene expression
sensitive detection
bioinformatics analysis
health insurance
data analysis