USC Study Used Sweat, Brain Signals, Eye Movements and AI to Detect Depression and Suicide Risk - USC Viterbi | School of Engineering

Researchers analyzed biomarkers that could help psychiatrists identify at-risk individuals earlier and more objectively, supplementing existing self-report surveys and clinical interviews

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