A machine learning-based prognostic model for de novo metastatic HR-positive breast cancer: SEER cohort with external validation - Top-Institutions - MDSpire

A machine learning-based prognostic model for de novo metastatic HR-positive breast cancer: SEER cohort with external validation

  • By

  • Sihang Lin

  • Wanwan Wang

  • Lixia Liu

  • Jiayu Guan

  • Chuanrong Cen

  • Huawei Yang

  • July 17, 2026

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Guangxi Medical University Cancer Hospital
    Guangxi Medical University Cancer Hospital

    Nanning, Guangxi

    Key Differentiators

    • Oncology

  • #2

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

    Tallinn, Harju

    Key Differentiators

    • Oncology

  • #3

    Stanford NSCLC Radiogenomics
    Stanford NSCLC Radiogenomics

    Stanford, California

    Key Differentiators

    • Oncology

  • #4

    Nagoya University Graduate School of Medicine
    Nagoya University Graduate School of Medicine

    Nagoya, Aichi

    Key Differentiators

    • Oncology

  • #5

    Japan Association of Spine Surgeons With Ambition
    Japan Association of Spine Surgeons With Ambition

    Tokyo, Tokyo

    Key Differentiators

    • Oncology

Original Source(s)

A machine learning-based prognostic model for de novo metastatic HR-positive breast cancer: SEER cohort with external validation

  • by Sihang Lin, Wanwan Wang, Lixia Liu, Jiayu Guan, Chuanrong Cen, Huawei Yang

  • July 17, 2026

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