Palmer Commons, Forum Hall
“From Algorithms to Bedside: Harnessing AI and Informatics in Biomedical & Clinical Endeavors”
Abstract
Artificial Intelligence (AI) and Informatics constitute a highly interdisciplinary field where data serves as the cornerstone for driving innovation and generating insights. The complexity of this ecosystem is heightened by its reliance on multimodal data from diverse sources, demanding robust methods for data integration, processing, and analysis. This framework underscores two pivotal components: Biomedical Semantics and Data Intelligence. In my research, I have actively engaged in these two critical steps, striving to develop solutions that bridge the gap between data science and tangible clinical and biomedical impacts. Overcoming these challenges necessitates the development of advanced informatics techniques, including strategies for data standardization and integration, as well as methods for knowledge representation and subsequent inference and analysis.
Chair, Department of Artificial Intelligence and Informatics
Mayo Clinic in Jacksonville, FL
Cui Tao, PhD, builds and shapes complex knowledge systems, enabling seamless communication and data exchange in healthcare. She also pioneers methods to extract insights from diverse datasets. In doing so, she promotes a more comprehensive understanding of healthcare systems, needs, and events.
Dr. Tao's wide-ranging research interests include:
- Ontologies.
- Standard terminologies.
- Information and knowledge extraction and integration.
- Machine learning and deep learning in clinical and translational studies.
