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Universities are hubs for innovation with diverse, independent research groups but often common data needs. Our Institute for AI in Medicine (I.AIM) Central Data Team is focused on identifying the highest priority data access and analytics needs on campus and developing efficient, scalable and secure data pipes and analysis methods in order to speed up medical augmented intelligence research and translation. 

Contact I.AIM via email to learn more about the Central Data Team and Core Services.


The I.AIM central team and directors of I.AIM centers regularly publish their research findings.

Browse I.AIM Publications

Enhancing infrastructure: Health Data Gymnasium

I.AIM is building the infrastructure necessary to accelerate innovation in a representative workforce. The Health Data Gymnasium combines a robust data library with elements of a data academy welcoming to researchers at all skill levels and backgrounds. 

An ecosystem supporting training, tools, and data is necessary to support strong workforce development, accelerate operations, and remove barriers for research and innovation. The Health Data Gymnasium combines the rigor/public trust of academia with the scale and efficient data handling of industry.

Physician-Scientist Training & Resources

We offer a wide range of resources, mentorship opportunities and training to help our residents and fellows excel as physician-scientists. Explore all of the resources and hear from housestaff who are making research a major part of their career development plans.

Visit the Starzl Academy.