Combining High-Fidelity hiPSC-Derived Cardiomyocytes with AI-Enhanced Modeling for Improved Assessment of Proarrhythmic Risks - Top-Institutions - MDSpire

Combining High-Fidelity hiPSC-Derived Cardiomyocytes with AI-Enhanced Modeling for Improved Assessment of Proarrhythmic Risks

  • By

  • Su-Bin Kim

  • Jaehun Lee

  • Jieun An

  • Ara Cho

  • Kun Hee Lee

  • Hwan Choi

  • Choongseong Han

  • Muhammad Adnan Pramudito

  • Ki Moo Lim

  • Dong-Hun Woo

  • April 28, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Cardiac Electrophysiology
    • Stem Cell Biology
    • Computational Biology

  • #2

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Cardiology
    • Stem Cell Research
    • Biomedical Informatics

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Cardiac Electrophysiology
    • Stem Cell Technology
    • Computational Modeling

  • #4

    University of California, San Diego (UCSD)
    University of California, San Diego (UCSD)

    San Diego, CA

    Key Differentiators

    • Cardiac Safety Pharmacology
    • Stem Cell Research
    • Artificial Intelligence

  • #5

    University of Oxford
    University of Oxford

    Oxford, UK

    Key Differentiators

    • Cardiac Electrophysiology
    • Stem Cell Biology
    • Computational Biology

Original Source(s)

Combining High-Fidelity hiPSC-Derived Cardiomyocytes with AI-Enhanced Modeling for Improved Assessment of Proarrhythmic Risks

  • by Su-Bin Kim, Jaehun Lee, Jieun An, Ara Cho, Kun Hee Lee, Hwan Choi, Choongseong Han, Muhammad Adnan Pramudito, Ki Moo Lim, Dong-Hun Woo

  • April 28, 2026

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