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Explore the intersection of digital phenotyping and psychiatric genetics in this 28-minute conference talk from the Computational Genomics Summer Institute. Learn how wearable devices and smartphone data can be leveraged to characterize psychiatric disorders and identify genetic associations through AI-driven analysis. Discover methodologies for collecting behavioral patterns from consumer devices and understand how these digital biomarkers can predict mood states and assess sleep quality in relation to depression and neurocognitive performance. Examine the integration of behavioral health tracking in human genetics research and explore genome-wide association studies that identify genetic loci associated with device-measured physical activity and sleep duration. Gain insights into personalized approaches for mood prediction using smartphone-collected behavioral data and understand the potential of digital phenotyping to advance psychiatric genetics research through objective, continuous monitoring of patient behaviors and physiological markers.
