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CTBH Investigator Nicholas Jacobson receives NIH funding for major depressive disorder research

The project, Personalized Deep Learning Models of Rapid Changes in Major Depressive Disorder Symptoms using Passive Sensor Data from Smartphones and Wearable Devices, aims to utilize personalized artificial intelligence techniques and objective data (collected from smartphones and wearable devices) to create individualized digital biomarkers of rapid changes in major depressive disorder symptoms. As a result, this research hopes to uncover novel personalized maintenance patterns of MDD symptom changes in daily life, and will provide an important step forward towards developing personalized, scalable, technology-based interventions that can be delivered immediately to persons with MDD.