A personalized and automated real-time meal detection algorithm based on continuous glucose monitoring and heart rate data for individuals with post-bariatric hypoglycemia - Top-Institutions - MDSpire

A personalized and automated real-time meal detection algorithm based on continuous glucose monitoring and heart rate data for individuals with post-bariatric hypoglycemia

  • By

  • Luca Cossu

  • Giacomo Cappon

  • Felix Wortmann

  • David Herzig

  • Lia Bally

  • Andrea Facchinetti

  • July 1, 2026

  • 0 min

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Top Institutions in Endocrinology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, Minnesota

    Key Differentiators

    • Endocrinology
    • Diabetes
    • Metabolism

  • #2

    Brigham and Women’s Hospital
    Brigham and Women’s Hospital

    Boston, Massachusetts

    Key Differentiators

    • Endocrinology
    • Diabetes
    • Hypertension

  • #3

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, Ohio

    Key Differentiators

    • Endocrinology

  • #4

    University of California, San Francisco
    University of California, San Francisco

    San Francisco, California

    Key Differentiators

    • Endocrinology
    • Bariatric Surgery

  • #5

    Montefiore Medical Center
    Montefiore Medical Center

    Bronx, New York

    Key Differentiators

    • Endocrinology
    • Diabetes

Original Source(s)

A personalized and automated real-time meal detection algorithm based on continuous glucose monitoring and heart rate data for individuals with post-bariatric hypoglycemia

  • by Luca Cossu, Giacomo Cappon, Felix Wortmann, David Herzig, Lia Bally, Andrea Facchinetti

  • July 1, 2026

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