ReCARDO: Using Real-World Data to Derive Common Data Elements for Alzheimer’s Disease and AD-Related Dementias Research Through Ontological Innovation
ReCARDO Investigators
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Steps that will be iterated include:
- Develop a federated data ecosystem infrastructure for AD-CDE-incorporated NIA-funded studies through CDE extraction (CDE-Data) leveraging advanced data science solutions and AI/ML/NLP techniques.
- Operationalize CDE-Data for developing longitudinal study data sets from RWD and produce a comprehensive inventory of data sources for aging populations.
- Develop objective evaluative frameworks to assess the readiness and fitness-for-purpose of RWD for clinical evidence generation.
- Evaluate study feasibility, availability of data, readiness of the data, and reproducibility of CDE-incorporated studies within and beyond the RRN through a national pilot study program, leveraging innovation capacities offered by CDE-Engine and CDE-Data.
Work Streams
1. CDE development & CDE knowledge graph
Leads & Co-Leads: Licong Cui, Alex Cheng
2. CDE extraction from RWD
Leads & Co-Leads: Hongfang Liu, Jennifer St Sauver
3. Data, metadata & resource ecosystems
Leads & Co-Leads: GQ Zhang, Jake Chen
4. AI/ML/NLP & computational phenotyping
Leads & Co-Leads: Yonghui Wu, Hongfang Liu
5. Research question, use cases, pilots
Leads & Co-Leads: Zoe Arvanitakis, Amy Franklin
6. Genetics, imaging, biomarkers & big data
Leads & Co-Leads: Degui Zhi, Dennis Lal
7. Reproducibility & evaluation
Leads & Co-Leads: Yong Chen, Ronald Petersen
Current meetings
ReCARDO Annual Meeting
Oct 5 (Mon), 2026
Location: NIH Fishers Lane Facility - 5601 Fishers Lane, Rockville, MD 20852, United States
The University of Texas Systemwide Brain Research Summit 2026
Nov 5 (Thu) - Nov 6 (Fri), 2026
Location: Austin, TX, USA
AMIA 2026 Annual Symposium
Nov 7 (Sat) - Nov 11 (Wed), 2026
Location: Dallas, TX