Development and validation of a machine learning model for predicting invasive breast cancer using 26 routine clinical examination indicators - Top-Institutions - MDSpire

Development and validation of a machine learning model for predicting invasive breast cancer using 26 routine clinical examination indicators

  • By

  • Lijuan Pan

  • Wenjing Deng

  • Ziwei Zhao

  • Yulong Liu

  • Xuelian Peng

  • Chunyan Yang

  • Baoru Han

  • Shan Shi

  • Jin Li

  • May 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

    Affiliated Dazu’s Hospital of Chongqing Medical University
    Affiliated Dazu’s Hospital of Chongqing Medical University

    Chongqing, China

    Key Differentiators

    • Oncology

Original Source(s)

Development and validation of a machine learning model for predicting invasive breast cancer using 26 routine clinical examination indicators

  • by Lijuan Pan, Wenjing Deng, Ziwei Zhao, Yulong Liu, Xuelian Peng, Chunyan Yang, Baoru Han, Shan Shi, Jin Li

  • May 10, 2026

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