USC Study Used Sweat, Brain Signals, Eye Movements and AI to Detect Depression and Suicide Risk

Led by NGP Faculty Shrikanth Narayanan, researchers analyzed biomarkers that could help psychiatrists identify at-risk individuals earlier and more objectively, supplementing existing self-report surveys and clinical interviews.

Illustration credit: Midjourney

Click Here for the Full Article (Source: USC Viterbi)