Personalised modelling of routine variability and affective states - Top-Institutions - MDSpire

Personalised modelling of routine variability and affective states

  • By

  • Adrien Choi

  • Danielle Lottridge

  • Jim Warren

  • October 6, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts Institute of Technology (MIT) - Media Lab
    Massachusetts Institute of Technology (MIT) - Media Lab

    Cambridge, MA

    Key Differentiators

    • Digital Mental Health
    • Computational Psychiatry
    • Machine Learning

  • #2

    Stanford University - Center for Digital Mental Health
    Stanford University - Center for Digital Mental Health

    Stanford, CA

    Key Differentiators

    • Digital Psychiatry
    • Behavioral Health Informatics
    • Mobile Health Technologies

  • #3

    University of California, San Francisco (UCSF) - Digital Health Innovation Lab
    University of California, San Francisco (UCSF) - Digital Health Innovation Lab

    San Francisco, CA

    Key Differentiators

    • Digital Psychiatry
    • Behavioral Data Science
    • Mobile Sensing

  • #4

    Johns Hopkins University - Department of Psychiatry and Behavioral Sciences
    Johns Hopkins University - Department of Psychiatry and Behavioral Sciences

    Baltimore, MD

    Key Differentiators

    • Psychiatry
    • Digital Mental Health
    • Behavioral Analytics

  • #5

    University of Pennsylvania - Penn Medicine Center for Digital Health
    University of Pennsylvania - Penn Medicine Center for Digital Health

    Philadelphia, PA

    Key Differentiators

    • Digital Psychiatry
    • Behavioral Health Informatics
    • Machine Learning

Original Source(s)

Personalised modelling of routine variability and affective states

  • by Adrien Choi, Danielle Lottridge, Jim Warren

  • October 6, 2025

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