DATA EXPLORATION AND LEARNING FOR PRECISION HEALTH INTELLIGENCE
Biomedical data science integrates large, complex data sets with innovative computational approaches to create actionable insights across biological and medical applications. The DELPHI Initiative aims to drive innovation in health and medicine by catalyzing biomedical data science research.
AIMS AND PRIORITIES
The DELPHI initiative aims to expand data science expertise to accelerate scientific discovery and implementation through key efforts to:
Build Community: Establish a community for knowledge exchange, professional development, and research collaboration and innovation
Catalyze Research: Catalyze new data science research and transform access to electronic health records to facilitate collaborative grant applications
Increase National Distinction: Establish an international reputation of the University of Utah as a premier university for health-related data science and develop local partnerships to encourage entrepreneurial endeavors and garner philanthropic and industry support
Facilitate Recruitment: Grow expertise in health-related data science through recruitment of biomedical data science researchers
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
