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Poster Presentation: <conference name>

Title: Accelerometer-Measured Physical Activity Improves Predictive Validity of Fried Frailty Phenotype for All-Cause and Cardiovascular Disease Mortality: UK Biobank Authors: Lingsong Kong, Dae Hyun Kim, Chi Hyun Lee, Cassandra N. Spracklen, Susan R. Sturgeon, John R. Sirard, Amanda E. Paluch Abstract:  Introduction: Fried Frailty Phenotype (FFP) is a widely used frailty measure defined by five criteria: unintentional weight loss, exhaustion, slowness, weakness, and low physical activity (PA). Low PA is typically assessed by self-report, which is less accurate than accelerometer-based measures. This study examined whether accelerometer-measured PA improves the predictive validity of FFP for mortality. Hypothesis: Frail and prefrail older adults would have higher risks of all-cause and cardiovascular disease (CVD) mortality than robust individuals. FFP incorporating accelerometer-measured PA would show stronger associations with mortality than that using self-reported PA. Methods: This prospective cohort study included 38,429 UK Biobank older adults (mean…

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Webinar – Healthy Aging in a Digital World: Promoting Caregiver Health and Well-being, Heather M. Young

https://www.youtube.com/watch?v=LHGAhAdToUg Abstract: Over 38 million family caregivers provide the vast majority of long-term care in the United States, valued at over $600 billion annually. Most of these caregivers are supporting a person with mild cognitive impairment or Alzheimer’s Disease or Related Disorders. This presentation will provide an overview of who are the caregivers and how health systems and technology can support them as they engage in this vital role. Biography: Heather M. Young, PhD, RN, FAAN, Professor, Betty Irene Moore School of Nursing; Founding Dean Emerita; National Director, Betty Irene Moore Fellowship for Nurse Leaders and Innovators at UC Davis Health A nurse leader, educator, scientist and nationally recognized expert in gerontological nursing and rural health care, Heather M. Young is national director of the Betty Irene Moore Fellowship Program for Nurse Leaders and Innovators,…

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Webinar – Novel Technological Approaches for Detection of Cognitive and Functional Impairment: Drs. Larsen, Stamps, and Milburn

https://www.youtube.com/watch?v=GQhT0iakfYE Abstract:  This webinar explored cutting-edge technologies aimed at improving early detection and monitoring of cognitive and functional impairments in older adults. Dr. Kate Papp (Mass General Brigham) opened the session by highlighting the challenges of traditional clinical assessments—lengthy, labor-intensive, and inaccessible to many—and the promise of scalable, remote, and ecologically valid digital tools to address the growing needs of an aging population. Three MassAITC pilot awardees presented innovative approaches: Dr. Eric Larson (Sonde Health) discussed testing a vocal biomarker platform that leverages AI to detect and monitor cognitive impairment via smartphone-based voice samples collected in home environments. Early findings show high participant engagement and promising accuracy in distinguishing cognitive status. Dr. Jennifer Stamps (Rendever) shared progress on a multimodal virtual reality (VR) fitness platform that combines physical exercise, cognitive stimulation, and social engagement. The…

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Patent: Systems and methods for estimation of Parkinson’s Disease gait impairment severity from videos using MDS-UPDRS

Many embodiments of the invention include systems and methods for evaluating motion from a video, the method includes identifying a target individual in a set of one or more frames in a video, analyzing the set of frames to determine a set of pose parameters, generating a 3D body mesh based on the pose parameters, identifying joint positions for the target individual in the set of frames based on the generated 3D body mesh, predicting a motion evaluation score based on the identified join positions, providing an output based on the motion evaluation score. U.S. Patent 11,918,370 Issued March 5, 2024

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Application of Sentiment Analysis and Generative Language Algorithms to Kinto, a Support Service for Family Caregivers of Persons Living with ADRD

Joseph Chung, Kinto. The Kinto pilot project explored how AI technologies—specifically sentiment analysis and generative language models—could enhance support for family caregivers of individuals living with Alzheimer’s and related dementias (ADRD).

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