August 9 – August 14, 2026
Gold-standard clinical diagnosis of dementia and cognitive impairment is often not feasible in large population-based cohort studies because it is time- and resource-intensive for participants and research teams. Algorithmic classification is an efficient alternative that can leverage existing data to establish a proxy for cognitive impairment and dementia without requiring resource-intensive clinical evaluation. This year’s conference will explore best practices for developing accurate classification algorithms that can be used by researchers to answer questions about the prevalence, progression, and determinants of dementia in cognitive aging studies. This multidisciplinary workshop will provide hands-on training through Workgroups using real-world datasets.