Events
An Extramural Program Webinar: Toward Gold Standards in Data Creation - AI Strategies to Address Data Accessibility Challenges in Biomedical Research
Date: Wednesday, September 18, 2024
Time: 2:00 p.m. to 4:00 p.m. ET
Type of event: Webinar
Location: Virtual
Speaker(s)
Speakers: Özlem Uzuner, PhD, George Mason University C. Karen Liu, PhD, Stanford University Lee Cooper, PhD, Northwestern University
Event Description
Register to join us for an insightful and transformative webinar that delves into the intersection of the work of three groundbreaking NLM funded researchers, each harnessing the power of machine learning (ML) and artificial intelligence (AI) to overcome significant challenges in data accessibility. Whether it's through the extraction of information from EHR narratives, predicting treatment outcomes from biomechanics data, or interpreting medical images, through their work, each has developed innovative strategies to minimize the need for expert intervention in the data preparation process. By providing high-quality, de-identified, annotated, and labeled datasets, their work has resulted in shared resources of great value to the research community that can serve as benchmarks to develop, test, and improve computational methods.
This webinar is a unique opportunity for data scientists, researchers, technologists, and those curious about NLM funded research to delve into collaborative strategies for creating high-quality datasets, reducing expert burden through innovative data processing techniques, and fostering community engagement and collaboration. It shares the latest developments in these areas and stimulates discussions on how shared methodologies can be applied across domains to expand data availability for health research. Participants will gain a deeper understanding of the role of community-driven efforts in overcoming data challenges and the importance of collaboration in achieving breakthroughs in health research.
If you have questions or need additional assistance, please email webinars@betah.com