Shu Wang
Guiyang, 550002, China
Last Updated: 09/26/2026
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Found 10 publications
Quantitative coupling of clonal CNV evolution and spatially restricted malignant states identifies MFGE8 as a candidate late-state-associated target in breast cancer.
Journal: Journal of translational medicine
Published: March 07, 2026
Machine learning-informed liquid-liquid phase separation for personalized breast cancer treatment assessment.
Journal: Frontiers in immunology
Published: August 23, 2024
Integrative machine learning model of RNA modifications predict prognosis and treatment response in patients with breast cancer.
Journal: Cancer cell international
Published: August 08, 2024
Machine learning unveils key Redox signatures for enhanced breast Cancer therapy.
Journal: Cancer cell international
Published: July 14, 2024
Enhancing breast cancer outcomes with machine learning-driven glutamine metabolic reprogramming signature.
Journal: Frontiers in immunology
Published: January 12, 2024
Integrating PANoptosis insights to enhance breast cancer prognosis and therapeutic decision-making.
Journal: Frontiers in immunology
Published: December 21, 2023
Endoplasmic reticulum stress in breast cancer: a predictive model for prognosis and therapy selection.
Journal: Frontiers in immunology
Published: November 03, 2023
Sentinel lymph node biopsy with carbon nanoparticle suspension after neoadjuvant chemotherapy for breast cancer patients.
Journal: Annals of the Royal College of Surgeons of England
Published: August 27, 2021
Molecular and Clinical Significance of Stanniocalcin-1 Expression in Breast Cancer Through Promotion of Homologous Recombination-Mediated DNA Damage Repair.
Journal: Frontiers in cell and developmental biology
Published: June 26, 2021
Showing 1-10 of 10
Last Updated: 09/26/2026