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Explainable machine learning model predicts response to adjuvant therapy after radical cystectomy in bladder cancer

PurposeRadical cystectomy (RC) is the standard treatment for muscle-invasive and select high-risk non–muscle-invasive bladder cancer. Despite definitive surgery, recurrence and progression remain major clinical concerns. Adjuvant chemotherapy and immunotherapy may improve outcomes, but therapeutic r...

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Principais autores: Jian Hou, Yi Ding, Runlin Feng, Yumin Wang, Yanping Tao, Junxiong Li, Jingbo Qin, Pinyao Liang, Peng Gu, Xiaodong Liu
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2025-10-01
Serier:Frontiers in Oncology
Fag:
bladder cancer
adjuvant therapy
machine learning
shap
predictive model
radical cystectomy
Online adgang:https://www.frontiersin.org/articles/10.3389/fonc.2025.1664965/full
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