Behavioral Analytics is the New Medical Device

Rhoda Au, Boston University, Laura McIntosh, EmPowerYu. This project will use in-home multimodal sensors to detect changes in daily life activity patterns that indicate fluctuations in cognitive status. This passive, low-burden method that captures behavioral symptoms is a significant opportunity for understanding how we can individualize the monitoring and treatment of chronic diseases like Alzheimer's Disease.

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Using AI to Repurpose Small Molecules to Target Amyloid-tau Interactions in AD

Jeremy Linsley, Operant BioPharma This project will use a proprietary robotics and artificial intelligence to identify targets and clinically-tested drugs that could be repurposed for Alzheimer's disease by blocking the harmful interaction between Tau and Amyloid Precursor proteins.

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AI-assisted Prediction of Healthy Aging and Alzheimer’s Disease Progression

Chaitanya Gupta, ProbiusDX Inc., Steven Arnold, Massachusetts General Hospital. This project will use Probius QES, a novel technology that measure molecular vibrations in blood plasma samples, to identify and differentiate healthy aging vs Alzheimer’s Disease progression in a well characterized cohort of 1000+ individuals from MassGen.

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Past Webinar – Progress in Personalizing Content and Dosing of a Physical Activity Promotion Intervention, David E. Conroy

https://www.youtube.com/watch?v=rzI9xjFMRsg Talk Abstract:  The Michigan Roybal Center aims to develop physical activity interventions for middle-age and older adults that engage validated mechanisms for adhering to behavior change following the end of active intervention support. This talk will review our ongoing work (a) to develop person-specific dosing algorithms to select the content and timing of text messages and (b) to engineer prompts for generative artificial intelligence systems to author message content that activates affective motivational processes to promote physical activity. The long-term objective of fusing these personalization strategies is to improve adherence to behavior change and reduce risk for Alzheimer's disease and related dementias. About the Speaker:  Dr. Conroy is a Professor and the Bickner Chair in Kinesiology at the University of Michigan where he directs the new Roybal Center for Promoting Adherence to Behavior Change &…

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Past Webinar – Leveraging AI to Measure and Model Social Behavior, James M. Rehg

https://www.youtube.com/watch?v=8mXoTsgEd-I Talk Abstract:  Beginning in infancy, individuals acquire the social and communication skills that are vital for a healthy and productive life. Children with autism face great challenges in acquiring these skills, resulting in substantial lifetime risks. As the neural basis for ASD is unclear, the diagnosis, treatment, and study of autism depends fundamentally on the analysis of child behavior. Standard methods for behavioral observation and coding are the backbone of research studies but are inherently coarse-grained and not easily scalable. In this talk I will present our research agenda that uses AI models and computer vision technology to automate the measurement of social behavior from video. Our goal is to unlock the rich behavioral information that is present in video and make it available for large-scale data-driven modeling and assessment. I will present several…

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Past Webinar – Practical Cognitive Assessment Methods for AD/ADRD Research Projects

https://youtu.be/4weOZ9Tf-Og?si=lzfkLGsUZVZSseRz This webinar will explore the importance of cognitive assessments in Alzheimer's Disease and Alzheimer's Disease Related Dementia (AD/ADRD) research. It will provide an overview of these assessments, their purpose, and available tools, followed by practical tips and guidance for researchers. About the Speakers:  Kathryn V. Papp, PhD, Assistant Professor of Neurology at Harvard Medical School; Clinical Neuropsychologist at Brigham and Women's Hospital Dr. Papp’s clinical practice is focused on assessment of memory disorders. Her primary research interest is in the early detection of Alzheimer’s disease (AD) using sensitive semantic and associative memory tests as well as computerized measures and digital technologies to identify and track older adults at risk for cognitive decline. She is additionally interested in modifiable lifestyle factors which may mitigate cognitive decline in older adults.. At MassAITC, Dr. Papp is a member…

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Past Webinar – Unlocking Success: FDA Regulatory Strategies for AgeTech Devices and AI

https://www.youtube.com/watch?v=0dpRR_cDPPs Are you working at the interface of technology and gerontology? Are you a start-up or an academic entrepreneur developing medical devices, digital health therapeutics, and/or AI/ML algorithms? Do you want to learn how to plan for a regulatory submission and how incorporating regulatory planning early into your development can better inform your research? Then come join us to learn about the regulatory space for AgeTech devices and software, to hear best practices for preparing a regulatory submission, and to gain valuable perspectives from companies that have and are currently navigating this space. About the Speakers:  Ameet Sarpatwari, PhD, JD, Assistant Professor of Medicine at the Harvard Pilgrim Health Care Institute and Harvard Medical School Dr. Sarpatwari previously served as Assistant Director of the Program On Regulation, Therapeutics, And Law (PORTAL) within the Division of…

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