Lisheng P. Peng
No.600 Tianhe Road
Guangzhou, 510630, China
Guangzhou, 510630, China
Last Updated: 09/26/2026
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Found 77 publications
ReliST: A model-agnostic risk layer for spatial transcriptomics deconvolution.
Journal: iScience
Published: May 21, 2026
Interpretable machine learning with SHAP analysis identifies redox-modulating dietary antioxidants for predicting accelerated biological aging.
Journal: Experimental gerontology
Published: February 23, 2026
Risk assessment of drug-associated miscarriage using XGBoost and SHAP explainability: a real-world pharmacovigilance analysis based on the FAERS database.
Journal: Frontiers in pharmacology
Published: October 01, 2025
Machine learning and SHAP value interpretation for predicting cardiovascular disease risk in patients with diabetes using dietary antioxidants.
Journal: Frontiers in nutrition
Published: April 15, 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 events.
Journal: Expert opinion on drug safety
Published: February 13, 2025
The efficacy of Sijunzi on immune function in patients with gastrointestinal cancers after surgery: Integrating systematic review and network pharmacology.
Journal: Medicine
Published: February 10, 2025
Global trends in testicular and prostate cancer among adolescents and young adult males aged 15-49 years, 1990-2021: insights from the GBD study.
Journal: Scientific reports
Published: December 05, 2024
Peripheral blood cell counts as predictors of immune-related adverse events in cancer patients receiving immune checkpoint inhibitors: a systematic review and meta-analysis.
Journal: Frontiers in immunology
Published: November 14, 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 system.
Journal: Expert opinion on drug safety
Published: July 16, 2024
Single-cell multiomics reveals simvastatin inhibits pan-cancer epithelial-mesenchymal transition via the MEK/ERK pathway in XBP1+ mast cells.
Journal: Scientific reports
Published: June 27, 2024
Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: a cross-sectional survey and Mendelian randomization analysis.
Journal: Frontiers in public health
Published: April 14, 2024
Last Updated: 09/26/2026