Grant Funding: NHLBI R21 – Sleep pathology and cardiac aging
Methodologies and algorithms from the pilot award informed the development and design of this funded grant application. Source: R21HL175584 (NIH RePORTER)
Grant Funding: R21 AG088872
Title: Characterizing autonomic impairments in Frontotemporal Dementia This R21 builds upon the tech ready cohort that was established by the pilot project funding. Public Health Relevance Statement: This proposal will test the accuracy and reliability of autonomic measurements in bvFTD patients. Measurements will be collected both with established equipment and via at-home devices to assess the validity of the latter. Finally, autonomic measurements will be correlated to socioemotional dysfunction in patients. Source: R21 AG088872 (NIH RePORTER)
Grant Funding: NIA R01 – Digital Cognitive Assessment of Preclinical Alzheimer’s Disease and Related Dementias
Analyses supported by the pilot project contributed to this awarded grant submission. Source: 1R01AG083735 (NIH RePORTER)
Award: Fortune Recommends names Livindi the most comprehensive older adult monitoring system
Firsthand product testing testing and expert review have resulted in Fortune magazine recommending Livindi as the most comprehensive home monitoring system and recognition as one of the 6 best older adult monitoring systems. What they said: "Regarding elderly monitoring systems, none seem as detailed and comprehensive as Livindi. This system provides a tablet with closed captioning, sensors, a call button, and a concierge service. This elderly monitoring system can be customized to fit your loved one’s needs and even includes the option for wearable technology if you want coverage outside of the home. This system not only can track activity and report any changes, but it also offers fall detection and biometrics information (for a fee). Although this system has a higher upfront cost for all of its technological features, its monthly service fee is…
Grant Funding: R01 AG082354
Title: Genomics-guided sleep biomarker discovery for early Alzheimer's disease: A wearables study This R01 builds upon the technology and algorithms for sleep-based metrics developed in the MassAITC pilot project, utilizing the same EEG device. It shifts the study from a general AD-risk factor population to a genetic AD-risk factor population. Public Health Relevance Statement: Sleep-based metrics are promising as potential noninvasive biomarkers for the early identification of individuals at risk of Alzheimer’s disease. In this R01 Research Project Grant, we will collect and analyze sleep and activity data from three wearable devices for sleep, heart rate, and activity monitoring along with blood biomarkers for Alzheimer’s disease from elderly Mass General Brigham Biobank participants with elevated genetic susceptibility to Alzheimer’s disease. We will also develop artificial intelligence tools for digital phenotyping and the discovery of novel…
Acquisition: Kinto is strategically acquired by Rippl Care
SEATTLE, April 30, 2024 /PRNewswire/ -- Today Rippl, a leading dementia-focused specialty care provider, announced it has acquired Kinto, a Boston-based, AI-enabled dementia caregiver support platform. This combination will fuel reaching an exponentially larger group of people living with dementia and their caregivers with human-centered care far beyond traditional bricks-and-mortar models. Kinto was founded to harness technology to dramatically improve the dementia caregiver experience and we have validated that our model can do just that. By partnering with Rippl, we can combine, enhance and scale our solutions to become leaders in virtual dementia care. AI will revolutionize dementia care navigation and caregiver support by vastly expanding access and availability of this critically needed service.Joe Chung, Kinto FOunder and CEO Human-driven, tech-enabled, AI-powered This partnership brings together Rippl's proven dementia care model, validated by clinical research including the UCSF Care…
New Product Launch: MyWords available on AppStore
IHMC has released the current version of MyWords application AppStore. This version was developed as part of IHMC's pilot award from MassAITC. Corresponding tutorial materials and information about the application will be added and updated at this public website: https://github.com/MyWords-app/MyWords