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Patent: Circadian Sensor System

US Patent office granted a patent to Blue Iris on March 19, 2024 for their Circadian Sensor System. A circadian health system (CHS) provides for improving the health of Alzheimer’s patients and other persons by controlling their exposure to circadian lighting.  Circadian sensor devices (CSDs) are distributed in a living space, e.g., at about about eye-level positions on respective walls of room.  Each CSD includes a spectral sensor for measuring the intensity of light at various wavelength bands.  Captured spectra can be compared to circadian light signatures so that the sources of circadian light can be identified.  The identifications then allow predetermined high-resolution, e.g., 5nm, spectra in the circadian wavelengths of 450-500 nm to be determined.  The spectra can then be used to control circadian lighting to provide prescribed doses of circadian stimulus.  Source: https://ppubs.uspto.gov/api/pdf/downloadPdf/11931172?requestToken=eyJzdWIiOiI0MzBhYjExNC00OTI0LTRjYjYtYWFkYy0yOGZjOTM2MDM2YjMiLCJ2ZXIiOiJhYzg0ODU3OS02NGRmLTRhNTgtYmZmOS0yNDlmNTFiMTQ2ODciLCJleHAiOjB9

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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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