Research
Our Work
AICML Research is strongly tied to current Machine Learning and Artificial Intelligence problems. Work is conducted with researchers internationally respected in their field, and carried out in cooperation with Graduate Students and Post Doctorate Fellows interested in real world problems.
Goals
Alberta remains uniquely poised to develop a broad, inclusive, and integrated strategy to Health Informatics research. One of the research goals of the AICML is to bridge the gap between industry and leading edge research. Strengths in advanced data analysis provide us with the unique opportunity for ground-breaking, generative research as well as industry-leading health applications.
Foundational Machine Learning Research:
- health knowledge discovery from data
- impact-focused applications
Outcome-driven:
- enabling secondary use of data
- marker discovery
- improving care
- health information management