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A Harvard-led study used frequent real-time smartphone surveys and engagement metadata from 600+ high-risk adults and adolescents to predict 75% of suicide attempts and 87% of suicide-related events in the week before they occurred, finding agitation to be a stronger short-term risk signal than depression. The results point to scalable, just-in-time digital monitoring and intervention strategies to close gaps in clinical detection of transient suicide risk.

suicide-prevention mental-health digital-health predictive-modeling
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