Current methods for diagnosing depression are often inaccurate since they rely on subjective reports and brief clinical visits. Drs. Bijanzadeh and Abbasi-Asl aim to create a new, more objective diagnostic platform using wearable technology to track brain and body activity at home, combined with powerful machine learning. This personalized approach will enable earlier and more accurate detection of depression, as well as empowering individuals to take preventative steps.
