Past Webinar – Technological Advancements in Functional Assessments and Fall Prevention

https://www.youtube.com/watch?v=37KcJYSMRHE About the Speakers:  John Ralston, PhD | CEO and Founder of Neursantys: John is a pioneer in the development of non-invasive bioelectronic devices and adaptive neuroplastic treatments for neurosensory, neuromotor, and neurocognitive impairments that have limited pharmacological treatment options. At Neursantys, John is collaborating with healthcare researchers, providers, and payers to restore motor and cognitive functions that have been impaired by both normal aging and accelerated aging caused by head trauma, disease, and spaceflight. With a career spanning public and private R&D organizations and entrepreneurial ventures in Canada, Europe, and the U.S., John has authored/co-authored over 250 professional publications, presented over 150 talks and seminars, and has 16 issued patents. John earned B.Sc. degrees in Physics and Electrical Engineering from M.I.T., a PhD in Electrical Engineering from Cornell University, and the MSc in Management…

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Past Webinar – The Impact of Light Exposure on Sleep: A Pilot Study, Erik Page (Blue Iris Labs)

https://www.youtube.com/watch?v=BcBlsqpNYeg Talk Abstract:  Light exposure is the primary regulator of human circadian rhythms, influencing many aspects of our physiology and behavior, including sleep, alertness, and mood, as well as many neuroendocrine and cognitive functions. While we have evolved experiencing “bright days and dark nights,” most of us now experience significantly darker days and brighter nights than our pre-modern ancestors, likely resulting in widespread circadian disruption. And as we age, the relationship between light exposure, circadian rhythms, and sleep can be further compromised both through normal aging (e.g., less light reaching the retina due to clouding of the lens) and age-related risk factors, such as Alzheimer’s Disease (AD), which is known to damage the brain’s master clock. This webinar will review the current science related to light exposure, circadian rhythms, and sleep, looking at aging and…

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Past Webinar – Harnessing the Power of Technology to Change the Way We Age, Alex Glazebrook (OATS from AARP)

https://www.youtube.com/watch?v=_Ao6Sif3Q5Y Talk Abstract:  Our society is aging alongside a rapid increase in the evolution and advancement of technology that mediates daily life. The use and adoption of technology by older adults has increased in the recent past, but differences remain with their younger counterparts and the effects of digital disconnection in later life are more acute. This session will present recent technology adoption and use trends among older adults as well as accompanying solutions that can aid in the adoption of technology by older adults, including future directions and expected developments. About the Speaker:  As VP of Programs, Alex Glazebrook is responsible for ensuring an outstanding experience for the older adults who participate in the many training and support programs that OATS offers. Alex earned a BA, MSW, and PhD from Stony Brook University, specializing…

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AI-Driven Early Detection of AD Risk Using Speech Features

Marziye Eshghi, MGH Institute of Health Professions This project will leverage AI-driven analysis of remotely collected speech data to detect early signs of Alzheimer’s disease (AD) by linking speech acoustic and kinematic features to AD molecular pathologies. By validating these speech metrics and developing a predictive AI model, the study aims to enable earlier, more precise identification of individuals at risk for AD, facilitating timely intervention and personalized care.

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TRIALCHAT: Leveraging LLMs to enhance AD/ADRD clinical trial participation

Tim K. Mackey, S-3 Research LLC, Joshua Yang, California State University, Fullerton. This project will aim to develop TrialChat, an AI-powered chatbot and clinical trial navigator designed to increase participation in Alzheimer’s disease and related dementias (ADRD) clinical trials by providing tailored education, personalized trial matching, and recruitment support for older adults and caregivers.

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Leveraging Digital Cognitive Rhythms to Detect ADRD Risk in Family Caregivers

Raeanne C Moore, UCSD, Yeonsu Song, UCLA. This project will develop and pilot machine learning algorithms to passively monitor cognitive fluctuations among family caregivers of persons living with dementia by analyzing their smartphone typing patterns and speech. By integrating KeyWise AI's digital cognitive rhythm ("CogniRhythm") score and ki:elements' Speech Biomarker for Cognition (SB-C), this scalable, low-burden solution could identify and mitigate cognitive decline in this vulnerable population.

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