Using Electronic Health Records (EHR) in Alzheimer's Disease and Related Dementias Research
Date: Tuesday, March 3, 2026
Time: 3:00 - 4:00 pm ET / 12:00 - 1:00 pm PT
About this webinar: Explore how real-world electronic health record (EHR) data can be leveraged to characterize heterogeneity and improve outcome prediction in Alzheimer’s disease (AD). The first talk presents a GNN-based analysis of longitudinal EHR data to identify distinct sub-phenotypes of progression from MCI to AD, revealing substantial differences in conversion rates, demographics, and comorbidity profiles. The second talk demonstrates how integrating EHR data from different resources improves robust phenotyping, dynamic risk stratification, and prognostication of clinically relevant AD outcomes. These two talks highlight the potential of EHR data and advanced analytics to support precision medicine and guide timely interventions in AD.
- "Leveraging Electronic Health Records to Identify Progression Subphenotypes from Mild Cognitive Impairment to Alzheimer’s Disease" - Dr. Xu
- "Integrating ADRC and EHR data to advance precision medicine in AD"
- Dr. Xia
This webinar is organized by the ADRC Data Core Steering Committee and NACC. Webinar resources, including the recording and slides, will be shared following the event.
Featured Speakers:
Zongqi Xia, MD, PhD
Associate Professor (Tenure) of Neurology, Biomedical Informatics, Clinical & Translational Science
University of Pittsburgh ADRC
Jie Xu, PhD
Assistant Professor, Department of Health Outcomes & Biomedical Informatics
University of Florida, 1Florida ADRC
Katherine Rankin, PhD
Professor and Neuropsychologist, Data Core Steering Committee Member
UCSF ADRC (moderator)
How to View this Webinar:
This webinar featured presentations containing unpublished data. Due to the sensitivity of this research, we will not be releasing the webinar recording until a later date.
Questions?
Please reach out to info@naccdata.org with any questions regarding this webinar.