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In Clinical and translational medicine

Quantitative features extracted from biopsy digital pathology images can provide predictive information for neoadjuvant chemoradiotherapy (nCRT) in local advanced rectal cancer (LARC) Machine learning technologies are applied to build the digital-pathology-based pathology signature The pathology signature is an independent predictor of treatment response to nCRT in LARC.

Zhang Fang, Yao Su, Li Zhi, Liang Changhong, Zhao Ke, Huang Yanqi, Gao Ying, Qu Jinrong, Li Zhenhui, Liu Zaiyi