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Sep 2026

Construction and evaluation of a machine-learning-based prediction model for pneumonia in patients with acute leukemia.

An interpretable XGBoost model that accurately predicts pneumonia risk in AL patients based on routine admission data is developed and validated and provides actionable risk stratification to inform preemptive diagnostic and therapeutic strategies.

W. Zhuang, Chen Huang, Xu-Dong Ma et al. · 0 citations
Aug 2026

YTHDF1-mediated translational activation of SETD2 suppresses aerobic glycolysis and sensitizes renal cell carcinoma to sunitinib.

Renal cell carcinoma (RCC) is a highly aggressive malignancy often characterized by metabolic rewiring and limited long-term responses to targeted therapies. In this study, we unveil a previously uncharacterized tumor-suppressive paradigm driven by the m6A reader YTHDF1. Through multi-omics integration and clinical val...

Siwei Xu, Bizhen Huang, Hai Lin et al. · 0 citations

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