Research and News
Predicting Environmental Allergies from Real-World Data
Using Smart Omix, a proprietary digital clinical research platform powering mobile research studies, the Sharecare team developed and trained a machine-learning algorithm to predict the emergence and severity of symptoms related to allergic rhinitis.
Empowering Clinical Research in a Decentralized World
Our paper in Nature Digital Medicine highlights the implications of new technologies, including edge computing, zero-trust environments, and federating computing in DCTs enabled by digital health technologies can offer improvements in real-time data acquisition remotely while maintaining privacy and security.