Shuaibin Feng on Muck Rack

Shuaibin Feng

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Articles

Deep learning-driven MRI radiomics reveals biological subtypes and predicts recurrence risk in rectal cancer

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By Jun Xiang, Longfei Gao, Peng Han, Yunxiao Liu, Xinxin Zhang, Guiyu Wang, Fanhe Gao, Zijing Guan, Shuaibin Feng
| Nature Verified
Abstract Traditional TNM staging inadequately captures the recurrence risk of rectal cancer (RC), limiting prognostic accuracy and personalized treatment decisions. Here, we developed an MRI-based deep learning approach to predict recurrence risk and leveraged pathology and transcriptomic analyses to characterize tumor heterogeneity and provide biological interpretation.
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