Keyboard Signatures to track cognition, processing speed, working memory, mood, semantic changes, outcomes, disease progression, diagnosis, treatment efficacy
Use of facial recognition to measure facial action units (AU’s) and expressivity for diagnosis and depression reoccurrence
Use of voice biomarkers for disease reoccurrence monitoring, progression, and diagnosis
Measurement of Heart Rate variability to create anxiety index through passive collection
Geospacial Analytical models to predict changes in behavior, movement, social stability, and movement
Passive & Active monitoring from >65 sensors to track treatment efficacy, real-time wellness, and outcomes with maximum privacy
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