The Digital Mental Health Study assessed feasibility of large-scale digital sensing for depression and anxiety.

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Bibliographic Details
Title: The Digital Mental Health Study assessed feasibility of large-scale digital sensing for depression and anxiety.
Authors: Douglas CS; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA.; Now at Washington University in St. Louis, St. Louis, MO USA., Congdon E; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA., Huang C; Apple Inc., Cupertino, CA USA., Seok D; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA., Cohen ZD; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA.; Now at University of Arizona, Tucson, AZ USA., Akre S; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA., Tozzo V; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA., Huang F; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA., Ramo-Larios D; Apple Inc., Cupertino, CA USA., Bernier RA; Apple Inc., Cupertino, CA USA.; Now at University of Washington, Seattle, WA USA., Flint J; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA., Naeim A; University of California, Los Angeles, Center for AI & SMART Health, Los Angeles, CA USA., Balliu B; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA., Bui AAT; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA.; University of California, Los Angeles, Center for AI & SMART Health, Los Angeles, CA USA., Bartlett MS; Apple Inc., Cupertino, CA USA., Craske MG; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA., Freimer NB; University of California, Los Angeles, Depression Grand Challenge, Los Angeles, CA USA.
Source: Npj digital public health [NPJ Digit Public Health] 2026; Vol. 1 (1), pp. 27. Date of Electronic Publication: 2026 Aug 04.
Publication Type: Journal Article
Journal Info: Country of Publication: England NLM ID: 9919251316106676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 3091-2784 (Electronic) Linking ISSN: 30912784 NLM ISO Abbreviation: NPJ Digit Public Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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