Longitudinal and cross-sectional data
Easily integrate new data sources to improve on statistical significance of your findings
Centralized, transferable data format
Кeplace meta studies by direct application of models
Apply models to both cross-sectional biobank dataset and longitudinal consumer-wearables data streams
Analysis of both historical and prospective longitudinal data
Models based on meaningful and interpretable features — no black-box approaches
Easily test hypotheses on biobank population-scale big data
Establish baselines for cohorts based on demographic, lifestyle, socio-economic factors