Past Webinar – Digital Cognitive Assessments in Preclinical Alzheimer’s Disease, Kate Papp

https://youtu.be/EpOYQnm0oJY?si=U0nU7Ao-LGkH30RC Abstract: Traditional paper-based cognitive assessments, while the current gold standard in clinical trials for Alzheimer’s disease (AD), lack the sensitivity and ecological validity needed to detect subtle cognitive changes in preclinical stages. Dr. Kate Papp’s work highlights cutting-edge approaches leveraging digital technologies—ranging from AI-analyzed speech and digital pens to ecological momentary assessments and learning curve paradigms. Her team’s development of the Boston Remote Assessment for Neurocognitive Health (BRANCH) demonstrates how multi-day, web-based testing on participants’ own devices can identify diminished learning effects over days—correlating with AD biomarkers and predicting cognitive decline. This talk also addresses validation challenges, participant adherence, and data privacy considerations crucial for adoption in clinical trials. These insights underscore the potential of digital cognitive measures to accelerate early detection, improve trial efficiency, and support Alzheimer’s prevention efforts globally. Biography: Kathryn V.…

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Past Webinar – Technology Use in Alzheimer’s Disease Research: Current Status & Future Promise, Rhoda Au

https://youtu.be/sXAMmZZ5YEM?si=d5QDssWNCXVmchEP Abstract: Digital technologies offer unprecedented opportunities to revolutionize cognitive health monitoring and Alzheimer’s disease prevention. Current high-burden, clinic-based assessments can be augmented by passive engagement technologies—leveraging smartphones and their array of embedded sensors for continuous, unobtrusive data collection. At the Framingham Heart Study and BU Alzheimer’s Disease Research Center, multi-sensor approaches combining smartphone applications, digital voice, eye-tracking, and in-home monitoring are being deployed to detect subtle cognitive and behavioral changes. Through the Davos Alzheimer’s Collaborative, a global minimal viable protocol has been launched, integrating digital and blood-based biomarkers across diverse populations. Data sharing via the Alzheimer’s Disease Data Initiative (ADDI) is accelerating discovery through open challenges and collaborative analytics. This paradigm shift emphasizes inclusivity, rethinking traditional study designs, and advancing from digital phenotyping to truly dynamic, multi-dimensional digital biomarkers. The long-term goal is early…

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