Data Exploration and Learning for Precision Health Intelligence (DELPHI) Data Science Initiative
Biomedical data science integrates large, complex data sets with innovative computational approaches to create actionable insightsacross biological and medical applications. The DELPHI Data Science Initiative aims to drive innovation in health and medicine by catalyzing biomedical data science research.
Establish a community for knowledge exchange, professional development, and research collaboration and innovation.
Facilitate Recruitment
Grow expertise in health-related data science through recruitment of biomedical data science researchers
Catalyze Research
Catalyze new data science research and transform access to electronic health records to facilitate collaborative grant applications.
Enhance Education
Develop and sustain a world-class education program for health-related data science which will serve to recruit leading clinician scientists and trainees and obtain extramural funding
There may be up to a tenfold difference in risk for infants who are currently treated identically under clinical guidelines. The analysis is an important step toward more personalized care.
Health sciences research has more than doubled in size over the past 12 years, a trajectory that highlights U of U Health as a destination for leading faculty, learners, and...
Seven projects from across the University of Utah have been awarded One Utah Data Science Hub seed grants, kickstarting collaborative projects that find creative ways to harness big data and...
