Building a better way to quantify neurological impairment

We are developing dannce (3-D Aligned Neural Network for Computational Ethology), a markerless 3-D pose tracking and behavioral quantification suite, to create digital fingerprints of movement which can be used to identify disease states and drug effects. We are focused on creating digital biomarkers and automated clinical exams for movement disorders and neuropsychiatric indications. We are a venture backed startup spinning out of Duke and Harvard.