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From Digital Measures to Novel Composite Endpoints: Enabling Precision Psychiatry



  • To establish whether there are digital traits, or a collection of digital traits, that can correlate to specific MADRS subscales
  • To identify a new MADRS composite score covering symptoms that are best predicted using digital traits


  • The Montgomery–Åsberg Depression Rating Scale (MADRS) is a diagnostic questionnaire used in clinical trials for major depressive disorder (MDD); the MADRS total score includes 10 subscales that evaluate the core symptoms of depression
  • While MADRS is reliable, it can be burdensome for some patients to complete diagnostic questionnaires
  • Digital traits are specific characteristics of an individual, derived from the interaction with digital technology
  • Digital traits may generate a deeper understanding of the MADRS subscales and provide insights about depression symptomatology
  • Measuring digital traits may be a less burdensome alternative to assess specific depressive symptoms over time