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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 of…

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…

https://youtu.be/glSoPDySruI?si=3vaFP2iwT9eKCDN2 High-quality behavior data in the wild will revolutionize how AI understand and support humans.  Low-power, privacy aware and minimally-obtrusive everyday wearables will play a central role in sensing and interpreting human behaviors.  Missing killer application has prevented wearables from a larger scale adoption. I think Health sensing in the wild is the killer application for the next generation of wearables.  Talk Abstract: Despite the rapid advancement of AI, computers' ability to comprehend human behaviors remains limited. For instance, commodity computing devices still face challenges in understanding even basic human daily activities such as eating and drinking. The primary obstacle lies in the absence of suitable sensing technologies capable of capturing and interpreting high-quality behavioral data in everyday settings. In this presentation, I will share my research on the development of everyday wearables that are…

https://www.youtube.com/watch?v=kUKKp4Fazno&t=3s&pp=ygUNYTIgY29sbGVjdGl2ZQ%3D%3D Talk Abstract: This talk introduces curiosity-driven research that explores science and technology to build the next generation of ear-worn computer systems that are robust, sustainable, cost-effective, low-burden, and socially acceptable, thereby unlocking new applications in human-computer interaction and brain-computer interface. Yet, the development of these systems brings significant challenges, demanding a rethinking of hardware and software frameworks, advanced ML algorithms, and significant interdisciplinary efforts. I will present our approaches to fill the gaps and build practical ear-worn computers, highlighted by motivating applications our lab has worked on: interactive computing and disease monitoring and intervention. Additionally, I will share insights gained from deploying these systems in various real-world settings and discuss future research directions.  About the Speaker: VP Nguyen directs the Wireless and Sensor Systems Laboratory (WSSL) at the Manning College of Information and Computer Sciences, University…

https://www.youtube.com/watch?v=0wLqw42_kPg   Presentation 1: Integrating LLMs and Other AI Technologies in an Intelligent Cognitive Assistant for Word Retrieval Support for Older Adults with ADRD Speaker: Archna Bhatia, PhD, Research Scientist, Institute for Human and Machine Cognition Abstract: Occasional inability to retrieve words accompanies aging, even for healthy people, and especially for those with Alzheimer's Disease and Related Dementias (ADRD). This phenomenon tends to thrust people into social isolation, resulting in an increased rate of decline. In this webinar, we will discuss the development of an Intelligent Personalized Cognitive Assistant, MyWords!, an AI-enhanced application that provides real-time word retrieval support and personalized training for individuals with ADRD. The development of the MyWords! application, as part of a pilot project, involved participatory design and usability testing to develop the application collaboratively, informing the user interface as well…