IBM, in collaboration with genetic testing service Pathway genomics, has announced the closed-alpha launch of an app that utilises deep learning and information gathered from genetic profiling to offer users personalised wellness information. The system uses IBM's flagship Watson cognitive computing ecosystem, and incorporates data from disparate sources, including a user's own genomic data, information from GPS, Electronic Health Records, wearables and HealthKit's Apple, to guide users on healthy living. If, for example, data suggests that a user may have genes that metabolise fats, or cause them to feel full, the app would consider this data when suggesting a diet to the end-user.
IBM, in collaboration with genetic testing service Pathway genomics, has announced the closed-alpha launch of an app that utilises deep learning and information gathered from genetic profiling to offer users personalised wellness information. The system uses IBM's flagship Watson cognitive computing ecosystem, and incorporates data from disparate sources, including a user's own genomic data, information from GPS, Electronic Health Records, wearables and Apple's HealthKit, to guide users on healthy living. If, for example, data suggests that a user may have genes that metabolise fats, or cause them to feel full, the app would consider this data when suggesting a diet to the end-user.