Predicting recovery after stressors using step count data derived from activity monitors - Top-Institutions - MDSpire

Predicting recovery after stressors using step count data derived from activity monitors

  • By

  • Dario Baretta

  • Sarah Koch

  • Joren Buekers

  • Judith Garcia-Aymerich

  • Lenka Knapova

  • Steriani Elavsky

  • Job Godino

  • Merlijn Olthof

  • Anna Lichtwarck-Aschoff

  • Ruud den Hartigh

  • Guillaume Chevance

  • October 9, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Digital Health
    • Behavioral Medicine
    • Epidemiology

  • #2

    Harvard University
    Harvard University

    Boston, MA

    Key Differentiators

    • Epidemiology
    • Public Health
    • Digital Medicine

  • #3

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Digital Health
    • Behavioral Science
    • Psychiatry

  • #4

    Massachusetts Institute of Technology (MIT)
    Massachusetts Institute of Technology (MIT)

    Cambridge, MA

    Key Differentiators

    • Biomedical Engineering
    • Data Science
    • Digital Health

  • #5

    University of Oxford
    University of Oxford

    Oxford, Oxfordshire

    Key Differentiators

    • Epidemiology
    • Digital Health
    • Public Health

Original Source(s)

Predicting recovery after stressors using step count data derived from activity monitors

  • by Dario Baretta, Sarah Koch, Joren Buekers, Judith Garcia-Aymerich, Lenka Knapova, Steriani Elavsky, Job Godino, Merlijn Olthof, Anna Lichtwarck-Aschoff, Ruud den Hartigh, Guillaume Chevance

  • October 9, 2025

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