Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer - Top-Institutions - MDSpire

Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer

  • By

  • Shaoda Meng

  • Sicheng Liu

  • Minghua Lai

  • Li Li

  • June 10, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Mount Sinai Tisch Cancer Center
    Mount Sinai Tisch Cancer Center

    New York, NY

    Key Differentiators

    • Oncology

  • #2

    ECOG-ACRIN Cancer Research Group
    ECOG-ACRIN Cancer Research Group

    Philadelphia, PA

    Key Differentiators

    • Oncology

  • #3

    The First People’s Hospital of Yunnan Province
    The First People’s Hospital of Yunnan Province

    Kunming, Yunnan

    Key Differentiators

    • Oncology

  • #4

    Technion – Israel Institute of Technology
    Technion – Israel Institute of Technology

    Haifa, Israel

    Key Differentiators

    • Oncology

  • #5

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

    Tallinn, Estonia

    Key Differentiators

    • Oncology

Original Source(s)

Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer

  • by Shaoda Meng, Sicheng Liu, Minghua Lai, Li Li

  • June 10, 2026

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