Location:
WF2 Tangerine, Orange County Convention Center, West Building
Session Description
Data science has the potential to drive medical innovation and improve the quality of care for patients with AKI. To best apply data science, data democratization and education in data science specific to the field of nephrology are needed. This session discusses the importance of current advances in data science for AKI and how these advances can change the future of the field with data democratization and education.
ASN thanks the ASN AKI!Now Workgroups for assistance with this session.
Learning Objective(s)
• Explain the importance of data democratization and education in using available data to advance care for patients with AKI
• Discuss how advances in big data have improved clinical care for patients with AKI
• Describe how multiomic approaches have uncovered targetable pathways to treat AKI
• Determine the effectiveness of machine learning and artificial intelligence in AKI research
Learning Pathway(s)
• AKI and Critical Care
Moderators
• Sherry Mansour, MD, MS
• Motoko Yanagita, MD, PhD
Presentations
• What Is the Full Potential of Electronic Medical Record Data in Relation to AKI?
04:30 PM EDT – 04:50 PM EDT
Girish N. Nadkarni, MD, MPH
• Let’s Talk Sequencing: What We Know and What the Future Holds
04:50 PM EDT – 05:10 PM EDT
Parker C. Wilson, MD, PhD
• Multi-Omics and Multi-Advancements in Kidney Health
05:10 PM EDT – 05:30 PM EDT
Morgan Grams, MD, PhD
• Learning About Machine Learning: How Effective Is It in Relation to AKI?
05:30 PM EDT – 05:50 PM EDT
Ashish Verma, MBBS, FASN
• Q&A
05:50 PM EDT – 06:00 PM EDT