Houcong Liu, Changpu Song, Jidong Wang, Zhufang Chen, Xiaohong Zhang, Hekai Zhou, Linhong Yao, Dan Chen, Wenhao Gu, Rui-Kun Huang, Bing-Kun Huang, Bo-Wei Han, Jihui Du
BACKGROUND: Cancer screening and early detection greatly increase the chances of successful treatment. However, most cancer types lack effective early screening biomarkers. In recent years, natural language processing (NLP)-based text-mining methods have proven effective in searching the scientific literature and identifying promising associations between potential biomarkers and disease, but unfortunately few are widely used. METHODS: In this study, we used an NLP-enabled text-mining system, MarkerGenie, to identify potential stool bacterial markers for early detection and screening of colorectal cancer...
December 21, 2023: International Journal of Biological Markers