Our client is bringing new therapeutics to market for neurobehavioral disorders and needed a better way to assess patients with neuropsychiatric disorders based on video and audio content. A platform was needed to enable digital biomarkers to support patient stratification for clinical trials and assess the efficacy of treatment.
We partnered with their data science and software engineering teams to design and build a platform to use machine learning to better quantify and describe patients with depression and anxiety. Time series audio and video data, captured via a mobile app, were feature engineered to train a model for predicting clinical outcomes. Improved digital techniques will enhance the stratification of patients for trial enrollment and accelerated assessment of therapeutic response.
