From pixels to patient care: deep learning-enabled pathomics signature offers precise outcome predictions for immunotherapy in esophageal squamous cell cancer.

Butuo LiWenru QinLinlin YangHaoqian LiChao JiangYueyuan YaoShuping ChengBing ZouBingjie FanTaotao DongLinlin Wang
Published in: Journal of translational medicine (2024)
The outcome supervised pathomics signature based on deep learning has the potential to enable superior prognostic stratification of ESCC patients receiving PD-1 inhibitors, which convert the images pixels to an effective and labour-saving tool to optimize clinical management of ESCC patients.