USC Study Used Sweat, Brain Signals, Eye Movements and AI to Detect Depression and Suicide Risk
Researchers analyzed biomarkers that could help psychiatrists identify at-risk individuals earlier and more objectively, supplementing existing self-report surveys and clinical interviews

