Machine learning-driven identification and immunohistochemical validation of an integrated immune-inflammatory phenotype for disease-free survival stratification in breast cancer - Top-Institutions - MDSpire

Machine learning-driven identification and immunohistochemical validation of an integrated immune-inflammatory phenotype for disease-free survival stratification in breast cancer

  • By

  • Shanshan Han

  • Lin Ran

  • Zhaoan Lian

  • Yong Tian

  • Li Qin

  • Yingchun Xiang

  • Xiaohao Yan

  • Chengyu Shui

  • Cheng Huang

  • June 18, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Enshi Tujia & Miao Autonomous Prefecture Central Hospital
    Enshi Tujia & Miao Autonomous Prefecture Central Hospital

    Enshi, Hubei

    Key Differentiators

    • Oncology

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, Minnesota

    Key Differentiators

    • Oncology

  • #3

    North Estonia Medical Centre (NEMC) Foundation
    North Estonia Medical Centre (NEMC) Foundation

    Tallinn, Harju

    Key Differentiators

    • Oncology

  • #4

    Stanford NSCLC Radiogenomics
    Stanford NSCLC Radiogenomics

    Stanford, California

    Key Differentiators

    • Oncology

  • #5

    The Cancer Genome Atlas
    The Cancer Genome Atlas

    Bethesda, Maryland

    Key Differentiators

    • Oncology

Original Source(s)

Machine learning-driven identification and immunohistochemical validation of an integrated immune-inflammatory phenotype for disease-free survival stratification in breast cancer

  • by Shanshan Han, Lin Ran, Zhaoan Lian, Yong Tian, Li Qin, Yingchun Xiang, Xiaohao Yan, Chengyu Shui, Cheng Huang

  • June 18, 2026

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