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Experimental Gerontology|May 12, 2026
Interpretable machine learning with SHAP analysis identifies redox-modulating dietary antioxidants for predicting accelerated biological agingBei Zhang, Xinyu Zhang, Lanyue Ma, et al.
Aging|April 29, 2024
Immune cell senescence and exhaustion promote the occurrence of liver metastasis in colorectal cancer by regulating epithelial-mesenchymal transitionSen Lin, Lanyue Ma, Jiaxin Mo, et al.
Scientific Reports|July 2, 2025
Global trends in testicular and prostate cancer among adolescents and young adult males aged 15-49 years, 1990-2021: insights from the GBD studyXinyu Zhang, Yijia Li, Chaoguang Yan, et al.
Frontiers in Pharmacology|March 11, 2026
Risk assessment of drug-associated miscarriage using XGBoost and SHAP explainability: a real-world pharmacovigilance analysis based on the FAERS databaseSen Lin, Lanyue Ma, Ruiqi Zhao, et al.
Expert Opinion on Drug Safety|July 16, 2024
Adverse drug events associated with fluorouracil use in patients with metastatic colorectal cancer: a real-world pharmacovigilance study based on the FDA adverse event reporting systemRuiqi Zhao, Mengyao Han, Sen Lin, et al.
Frontiers in Public Health|July 1, 2024
Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: a cross-sectional survey and Mendelian randomization analysisRuiqi Zhao, Sen Lin, Mengyao Han, et al.
Expert Opinion on Drug Safety|February 13, 2025
Assessing the risk of acute kidney injury associated with a four-drug regimen for heart failure: a ten-year real-world pharmacovigilance analysis based on FAERS eventsSen Lin, Ruiqi Zhao, Huimin Zhang, et al.
Scientific Reports|November 28, 2024
Single-cell multiomics reveals simvastatin inhibits pan-cancer epithelial-mesenchymal transition via the MEK/ERK pathway in XBP1+ mast cellsSen Lin, Huimin Zhang, Ruiqi Zhao, et al.
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