Clinical medicine is becoming an information-driven science heavily leveraging various kinds of data such as genetic, medical, public and personal health information. Improving patient care and developing personalized therapies depend on the healthcare delivery system’s ability to leverage complex genetic, clinical and other medical related data from a variety of sources to offer personalized, preventive, predictive and participatory (P4) medicine for patients.

InterpretOmics big data driven technology platforms such as iOMICS™ and GoHealthyGo enables users to systematically integrate and interpret genetic, medical, behavioral, and environmental data from individual patients to population, thus enabling personalized medicine, both in healthcare research and in the clinics.