World-class infrastructure, high-quality data and diverse and inclusive teams are central to UF Health’s AI vision. Explore our campuses and resources for advancing trustworthy AI in the health sciences, including computing, data, workforce development, pilot funding and research services.
During the Georgia Tech GPU Hackathon in January 2022, a UF-NVIDIA team drastically improved the processing time for evaluating tens of thousands of datapoints collected from an individual brain. It is now more than 40 times faster. In addition to three NVIDIA experts, the team included three faculty members and a doctoral student from the UF colleges of Public Health and Health Professions, Engineering, and Medicine.
UF Health Campuses
UF Health’s talented and dedicated workforce of more than 33,000 people provide lifesaving care and research breakthroughs for more than 3 million patients who come to UF Health each year from around the U.S. and more than 30 countries. AI and data science experts at UF have a unique opportunity to partner with us as we optimize UF Health’s data and IT ecosystem to fuel AI-powered advances in health care delivery, biomedical discovery, and public and population health.
With campuses in Gainesville, Jacksonville, Lake Nona (Orlando), Central Florida (Leesburg and The Villages), Jupiter (UF Scripps), and other satellite locations, UF Health spreads a constellation of care over the third-most populous state in the nation. Our academic health center is home to 10 major research institutes and centers that further extend pathways to translate AI and other research advances into improved health across the state, region and nation.
The UF-NVIDIA partnership is elevating UF Research Computing infrastructure to new heights, with HiPerGator AI recently ranked by TOP500 as one of the world’s most energy-efficient and powerful supercomputers in higher education.
- UF Research Computing — Artificial Intelligence: options and procedures for using HiPerGator and HiPerGator AI for teaching and research
- UF Research Computing — ResVault: Computing Environment for Restricted Data
UF researchers can leverage complementary institutional, statewide and federal data resources for a broad spectrum of health-related AI use cases. The UF Health Integrated Data Repository and OneFlorida Data Trust are two examples of high-quality data assets that provide exceptionally deep and broad collections of real-world data for developing and validating AI methods and applications, each with established universitywide pathways for access. The UF Health Science Center Libraries maintains a one-stop Precision Public Health LibGuide that catalogs data sources for public health research, and UF is home to a Florida Research Data Center recently established with NSF funding. In addition, several UF research centers and institutes maintain domain-centric data resources accessible to their members.
- UF Health Integrated Data Repository: a large-scale clinical data warehouse that contains more than 1 billion observational facts pertaining to more than 1 million patients at UF Health
- OneFlorida+ Data Trust: a repository of health-care data pertaining to more than 17 million patients who visit private and public health care systems throughout Florida and in select cities in Georgia and Alabama
- UF Precision Public Health LibGuide: a catalog of federal, state and local data sources applicable to public health research
- Florida Research Data Center: a secure research environment where researchers can analyze restricted data collected by the U.S. Census Bureau and other federal statistical agencies
Workforce Development Resources
The UF Artificial Intelligence Academic Initiative Center’s “AI across the Curriculum” initiative offers multiple pathways to develop AI-related skills and credentials, including an undergraduate certificate, majors and graduate programs integrating AI in their syllabi, and continuing education courses. In addition, UF Research Computing organizes a range of AI education and training resources.
UF Health colleges have a broad portfolio of graduate education programs that offer foundational AI and data science courses, from biostatistics, epidemiology and health outcomes and biomedical informatics, to pharmaceutical sciences and precision medicine. Highlights of new opportunities to train future AI researchers as well as AI-savvy collaborators:
- The College of Medicine offers a two-day AI boot camp; an Emerging Scholars-AI program for PhD students; AI4Health continuing medical education for clinicians; and an AI in medicine curriculum for trainees and faculty.
- The College of Pharmacy offers a Fellowship in Pharmacy Informatics, as well as a graduate focus area on AI in Pharmaceutical Outcomes and Policy Research.
- The College of Public Health and Health Professions offers an undergraduate AI certificate, a PhD concentration in data science epidemiology and a PhD fellowship in artificial intelligence, and is creating a graduate certificate in AI research methodologies in health care and public health.
- The colleges of Dentistry, Nursing, Public Health and Health Professions and Engineering are developing an AI-enhanced interprofessional education program that uses virtual patient simulation to teach students and residents how to address health care needs while engendering cultural sensitivity and empathy to prevent the unintentional increase of disparities and solve health care disparities.
Pilot Funding Resources
Several units across campus offer competitive pilot funding programs with broad eligibility criteria or a specific interest in AI and data science projects:
- UF Clinical and Translational Science Institute: Pilot Project Awards
- UF College of Medicine: AI2Heal Datathon and Rapid AI Prototyping and Development for Patient Safety
- UF College of Public Health and Health Professions: PHHP Research Innovation Fund
- UF Informatics Institute: SEED Funding
- UF Research: AI Catalyst Fund, Research Opportunity Seed Fund
Robust services and resources are available to support health-related research through UF Health’s major research offices, centers and institutes spanning multiple campuses. Key resources of interest for AI and data science are highlighted below, and numerous activities and directories are available to help faculty and students connect with collaborators.
- Cancer Center: Cancer Informatics and Biostatistics and Computational Biology shared resources
- Clinical and Translational Science Institute: Data, informatics and IT services, Natural Language Processing Core, Research Design and Data Coordinating Center, translational science education programs
- College of Medicine: Office of AI Application and Innovation
- College of Medicine-Jacksonville Office of Research Affairs: Center for Data Solutions
- Diabetes Institute: Seven research programs
- Emerging Pathogens Institute: Eight labs, projects and centers
- Genetics Institute: Software Center
- Institute on Aging: Pepper Center Data Science and Applied Technology Core
- Interdisciplinary Center for Biotechnology Research: Seven biotechnology cores
- McKnight Brain Institute: Eight research focus areas and six research facilities
- Norman Fixel Institute for Neurological Diseases at UF Health: Five core laboratories and patient research database