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Chart showing data collected from study participants over 52 weeks of enrollment, indicating ~4,000 enrolled at start and ~3,000 finishers.
First publication on DMHS posted on medRxiv, shares protocol details of landmark study

A preprint protocol article describing the design and implementation of the landmark Digital Mental Health Study was posted on medRxiv on Oct. 1, 2025 and has been submitted for publication in a peer-reviewed journal. Senior authors of this protocol article from UCLA include Nelson Freimer, MD, UCLA Depression Grand Challenge director and DMHS principal investigator; Michelle Craske, PhD, DGC co-director.

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Central
Causes & Trajectories
UCLA Depression Grand Challenge logo
New DGC-Apple research collaboration opens for nationwide recruitment
The UCLA Depression Grand Challenge, in collaboration with Apple, launched the National Digital Mental Health study, open for nationwide recruitment. The study leverages digital sensors in iPhone and Apple Watch to illuminate the relationship between objective, everyday measures (e.g., sleep, heart rate) and symptoms of depression and anxiety.
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Causes & Trajectories
Advancing the use of sensor-based digital health technologies for mental health research and clinical practice
DiMe-DGC collaboration releases Wellcome-funded report outlining recommendations to drive investment, direction in digital sensing for mental health

The Digital Health Measurement Collaborative Community (DATAcc) by the Digital Medicine Society (DiMe), in which Depression Grand Challenge team members participated, released a report on Feb. 4, 2025, detailing evidence-based, actionable recommendations to drive interest, investment, and direction for sensor-based digital health technology research and innovation.

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Central
Causes & Trajectories
UCLA Depression Grand Challenge logo
DGC is part of Wellcome-funded study leveraging STAND content to study cognitive behavioral therapy mechanisms and effectiveness
The Depression Grand Challenge is part of a project investigating the effects of CBT using STAND content to improve the effectiveness of depression treatment. The project, a large-scale factorial trial, seeks to measure how changes in STAND content may affect the intervention’s effectiveness for repetitive negative thinking.
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New & Better Treatments
UCLA Depression Grand Challenge logo
DGC joins DiMe-led consortium, submits proposal to Wellcome to conduct scoping project on use of digital sensing for mental health research
The UCLA Depression Grand Challenge collaborated with a consortium led by The Digital Health Measurement Collaborative Community (DATAcc) by the Digital Medicine Society (DiMe) to submit a proposal to Wellcome, a global charitable organization that funds discovery research, for the opportunity to conduct scoping research to assess how digital sensing technologies may be leveraged to detect and treat mental health conditions.
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Central
Causes & Trajectories
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