A Framework for Independent Scientific Exploration in Cancer Pathology Using AI - Top-Institutions - MDSpire

A Framework for Independent Scientific Exploration in Cancer Pathology Using AI

  • By

  • Florian Trost

  • Bide Zhang

  • Ines Aring

  • Marcus Bauer

  • Lennert Glamann

  • Michael Wessolly

  • Kyra Johnson

  • Heike Göbel

  • Tristan Lerbs

  • Taban Sangenne

  • Peter Herrmann

  • Fabian Mairinger

  • Christopher Kopp

  • Sebastian Michels

  • Anna Rasokat

  • Matthias Heldwein

  • Steffen Wagner

  • Birgid Schömig-Markiefka

  • Jürgen Wolf

  • Sylvia Hartmann

  • Claudia Wickenhauser

  • Andrey Bychkov

  • Jens Peter Klussmann

  • Alexander Quaas

  • Reinhard Buettner

  • Yuri Tolkach

  • April 29, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Cancer Pathology
    • Computational Pathology
    • Artificial Intelligence
  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Computational Pathology
    • Artificial Intelligence
    • Cancer Research
  • #3

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Cancer Pathology
    • Artificial Intelligence
    • Oncology
  • #4

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Pathology
    • Artificial Intelligence
    • Cancer Research
  • #5

    University of California, Los Angeles (UCLA)
    University of California, Los Angeles (UCLA)

    Los Angeles, CA

    Key Differentiators

    • Computational Pathology
    • Artificial Intelligence
    • Cancer Biology

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