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: NIA SBIR Phase I (R43AG090129)
Title: AVA AI Video-Based Mobile Application for Reliable, Accessible, and Low-Cost Fall Risk Assessments of Older Adults Public Health Relevance Statement: This project presents AVA, a video-based mobile app for at-home fall risk assessment of older adults, only using a smartphone to enable a much higher access, low-cost solution with full privacy protection. AVA empowers caregivers to assess the gait, balance, and strength of their older adults independently without the direct supervision of healthcare professionals. The Phase I study focuses on validating AVA's AI-based assessment technology and its usability in diverse home and independent living settings which can lead to revolutionizing current fall risk assessment practices. Source: R43AG090129 (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: 2024 Innovation Award Competition: Center for Advancing Point of Care Technologies in Heart, Lung, Blood and Sleep Disorders (CAPCaT)
Billion Labs Inc is a recipient of the 2024 CAPCaT Innovation Award to further advance the design of the user interface for their VibroBP smartphone app for measuring blood pressure. The award covers $100,000 in direct costs for the 12-month long project. The CAPCaT is a partnership between UMass Chan Medical School and UMass Lowell. The center's mission is to support development and testing of promising, point-of-care technologies that can be rapidly deployed to enhance the diagnosis, monitoring, management and treatment of heart, lung, blood and sleep disorders. The center has an additional interest in projects that incorporate complementary and integrative health approaches. CAPCaT is supported by the National Heart, Lung, and Blood Institute via U54HL143541. Source: https://www.universityofcalifornia.edu/news/blood-pressure-readings-your-fingertips (Press Release)
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)
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…
Grant Funding: a2 Collective Pilot Award for “Creating a Framework for Large Language Models for Caregiver Support in Dementia (CARE-ALL)”
The team including Drs. Vahia and Sava and previous a2 Pilot awardee, Rippl (formerly known as Kinto) received GY3 pilot award to explore the use of LLMs to support caregivers of individuals with dementia. Source: https://massaitc.org/2024/04/18/creating-a-framework-for-large-language-models-for-caregiver-support-in-dementia/