Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 28, 2025Open Access

Digital Biomarkers for Passive Remote Monitoring of Bipolar Disorder: Systematic Review (Preprint)

View Full Paper
Ask AI
Bookmark
Share

Authors

TKThomas P KutcherICIndrajit ChakrabortyKKKristin M. Kostick

Discussion

Loading...

Member takes

Overview

Systematic review identifies digital biomarkers for bipolar disorder mood states, highlighting risks and gaps.

Key Points

  • Passive digital biomarkers for bipolar disorder have potential, showing robust signals correlated with mood states.
  • Out of 8,355 records, 45 studies were included, focusing on passive digital biomarkers in adults with bipolar disorder.
  • Machine learning approaches in some studies achieved strong classification performance for episode prediction, yet lack external validation.
  • Future research must enhance monitoring duration and standardize reporting to develop actionable tools for managing bipolar disorder episodes.

Cite This Study

Kutcher et al. (2025) studied this question.

synapsesocial.com/papers/68d90a0641e1c178a14f6239https://doi.org/10.2196/preprints.84675
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Digital Biomarkers for Passive Remote Monitoring of Bipolar Disorder: Systematic Review2025
  2. 2Digital Markers for Passive Remote Monitoring of Bipolar Disorder: Systematic Review2026
  3. 3Digital Tools for Assessing Bipolar Disorder: A Scoping Review of the Current Landscape2026
  4. 4From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time2026 · 1 citations
  5. 5A systematic exploration of digital biomarkers for the detection of depressive episodes in bipolar disorder2026