Data-driven prioritization of high-risk individuals for weight loss interventions - Top-Institutions - MDSpire

Data-driven prioritization of high-risk individuals for weight loss interventions

  • By

  • Kamil Demircan

  • Julia Carrasco-Zanini

  • Alice Williamson

  • Carl Beuchel

  • Linsey Jackson

  • Werner Römisch-Margl

  • Aleksander L. Hansen

  • Sarah Finer

  • David A. van Heel

  • Gabi Kastenmüller

  • Matthew Coghlan

  • Ida Moeller

  • Nicholas J. Wareham

  • Maik Pietzner

  • Claudia Langenberg

  • April 30, 2026

  • 0 min

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Top Institutions in Endocrinology

Brief introduction explaining scope and methodology.

  • #1

    Harvard Medical School
    Harvard Medical School

    Boston, MA

    Key Differentiators

    • Obesity Medicine
    • Endocrinology
    • Population Health
    • Data Science

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Obesity Medicine
    • Endocrinology
    • Clinical Research
    • Data Analytics

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Obesity Research
    • Endocrinology
    • Epidemiology
    • Machine Learning

  • #4

    University of Cambridge
    University of Cambridge

    Cambridge, UK

    Key Differentiators

    • Obesity and Metabolic Disease
    • Population Health
    • Data Science

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Obesity Medicine
    • Biomedical Informatics
    • Endocrinology

Original Source(s)

Data-driven prioritization of high-risk individuals for weight loss interventions

  • by Kamil Demircan, Julia Carrasco-Zanini, Alice Williamson, Carl Beuchel, Linsey Jackson, Werner Römisch-Margl, Aleksander L. Hansen, Sarah Finer, David A. van Heel, Gabi Kastenmüller, Matthew Coghlan, Ida Moeller, Nicholas J. Wareham, Maik Pietzner, Claudia Langenberg

  • April 30, 2026

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