ABSTRACT Integrating histopathology, genomic, and clinical phenotypes holds promise for improving prognostic patient stratification, including within treatment‐defined subgroups, in colorectal cancer (CRC). However, ensuring the availability of all modalities in routine clinical practice remains challenging. Comprehens...
Chuang-Jie Cao, Zhe-Yi Ji, Chang He et al.· Advancement of science· 0 citations
In locally advanced gastric cancer, a substantial number of patients relapse with liver metastasis months after an apparently curative operation, and standard tumor staging offers little warning of who is at risk. Here, we develop the Radiopathomics-Clinical Stratification Assessment (RCSA), an interpretable model that...
SlideChat, a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types, outperformed leading baselines in closed-ended accuracy and report-generation Metric for Evaluation of Translation with Explicit Ordering score and received the highest expert ratings across...
Ying Chen, Chenglong Ma, Qiong-Qiong Li et al.· Nature Cancer· 2 citations
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