Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study - Top-Institutions - MDSpire

Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study

  • By

  • Peter May

  • Sabine D Brookman-May

  • Edward Garrahy

  • Johannes von Büren

  • May 25, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    The University of Texas MD Anderson Cancer Center
    The University of Texas MD Anderson Cancer Center

    Houston, Texas

    Key Differentiators

    • Oncology

  • #2

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, Massachusetts

    Key Differentiators

    • Oncology

  • #3

    University of California San Diego Moores Cancer Center
    University of California San Diego Moores Cancer Center

    La Jolla, California

    Key Differentiators

    • Oncology

  • #4

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, Ohio

    Key Differentiators

    • Oncology

  • #5

    Texas Oncology
    Texas Oncology

    Dallas, Texas

    Key Differentiators

    • Oncology

Original Source(s)

Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study

  • by Peter May, Sabine D Brookman-May, Edward Garrahy, Johannes von Büren

  • May 25, 2026

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