WONDER: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research
In this seminar, you’ll learn about the use of patient data combined from sources throughout the healthcare system. This type of patient data is called a longitudinal patient record (LPR), and it’s a type of real-world data that can drive precision oncology forward.
Despite recent progress using LPRs for cancer research, there are many things to consider that could improve the way researchers use this combined patient data. The Mayo Clinic’s Dr. Hongfang Liu will discuss the opportunities and challenges, including:
- applying Reproducible, Implementable, Transparent, and Explainable (RITE) principles to the data.
- applying Findable, Accessible, Interoperable, and Reusable (FAIR) principles to the data.
- the limits to using only imaging or structured data, without important information from clinical narratives.
The Data Science Seminar Series presents talks from innovators in the cancer research and informatics communities both within and outside of NCI.
Dr. Liu is the Dr. Richard F. Emslander Professor of Biomedical Informatics at the Mayo Clinic, and she is directing the biomedical informatics program at the Mayo Clinic Center for Clinical and Translational Science. Dr. Liu has a broad range of research interest in the discovery, translation, and application of data science, informatics, and artificial intelligence. Dr. Liu is committed to advancing people-centric, value-added, and evidence-based methodology and technology innovations under the RITE-FAIR principles.
Upcoming Events
- Envisioning a Future Toward More Equitable Trials: Artificial Intelligence and Its Implications in Health EquitySeptember 09, 2024 - September 10, 2024Impact of the Molecular Characterization Initiative on Pediatric CNS TumorsSeptember 10, 2024AI and Global OncologySeptember 24, 2024NCI’s Clinical and Translational Data Commons: Your Resource for Cancer DiscoverySeptember 25, 2024NCI Office of Data Sharing’s Annual Data Sharing Symposium: Driving Cancer Advances Through Impactful ResearchOctober 16, 2024The Cancer Research Data Commons 2024 Fall Symposium: Ten Years of Empowering Cancer ResearchersOctober 16, 2024 - October 17, 2024