Pilots

AI-Driven Earpiece Wearable to Enhance Symptom Management, Self-Care, and Caregiver Support in AD/ADRD Patients

Selina Zhu, Lumia Health. Paolo Bonato, Spaulding Rehabilitation Hospital This pilot will test the Lumia ear wearable in people with Alzheimer’s disease and related dementias (AD/ADRD), allowing users to track blood flow to the head and report symptoms through a voice-controlled AI assistant. The study will focus on usability and adapting Lumia’s technology for older adults with cognitive impairments.

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Neuroimmune Foundation Models for Uncovering Biomarkers in Alzheimer’s Disease and Related Dementias

Mariano I. Gabitto, Allen Institute This project seeks to develop and train a novel machine learning foundational model that unifies brain and peripheral immune system omics data to identify blood biomarkers and map cellular changes in AD/ADRD.

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Funding: $4.5M seed round raised

Seed round raised from existing investors (True Ventures, BKR Capital, Centre for Aging and Brain Health Innovation, Health2047 and others) - $4.5M to date. Securing of MassAITC pilot funding helped in due diligence with investors for their seed round, and thus was critical to closing their funding including with Health2047, venture arm of the American Medical Association and with other early stage investors. Source: businesswire

Continue ReadingFunding: $4.5M seed round raised

Strategic Partnership: Moneta Health partners with Benefis Health System

"We are excited to partner with Moneta to make personalized, evidence-based cognitive rehabilitation the standard of care for our patients and families. Montana is vast and has the sixth oldest population in the nation. Moneta’s proven program is an accessible approach to proactive brain health for our aging demographic." Dr. Greg Tierney, President of System Clinical Operations at Benefis Health System. LAS VEGAS--(BUSINESS WIRE)--Moneta Health, a brain health company pioneering cognitive rehabilitation therapy through AI-powered delivery, today announced a $4.5 million funding round and a new partnership with Benefis Health System to expand access to cognitive care in neurology deserts. The company has signed a multi-year partnership with Benefis Health System in Montana and secured investment from venture capital firms including True Ventures and Health2047, the American Medical Association’s venture studio, to support its mission…

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Grant Funding: SB1AG090151-01A1 – Improving Mental Health and Social Connectivity for Older Adults through Virtual Reality-Based Social Interventions

The MassAITC funded pilot project was the first to shift the use-case of the Rendever VR into the home setting. This grant furthers the push into the home by Rendever as a commercially viable solution to enable older adults aging at home to be more socially connected with their peers.This Commercial Readiness Pilot project builds on the success of their Phase I pilot study and Phase II STTR clinical trial by extending Rendever's virtual reality (VR) platform to enhance social connectivity among older adults who are aging in place, a majority of the aging population that Rendever is not yet serving. Older adults living at home will be connected with those living in senior living communities, where Rendever is already successfully implemented, through shared VR experiences. This project contributes to public health by testing the…

Continue ReadingGrant Funding: SB1AG090151-01A1 – Improving Mental Health and Social Connectivity for Older Adults through Virtual Reality-Based Social Interventions

Grant Funding: 1R41AG092186 – Restoring Self-Feeding with a Sensor Driven Robotic System

  • Post category:B14 - DESiN

Project Narrative: The NIH STTR Phase I project aims to improve the Obi robotic feeding system with advanced technology, allowing it to autonomously deliver food to individuals with severe upper limb disabilities. This enhancement will provide a more independent eating experience, reduce caregiver burden, and has the potential to improve the quality of life for millions of people with mobility impairments. Source: 1R41AG092186-01A1 (NIH RePORTER)

Continue ReadingGrant Funding: 1R41AG092186 – Restoring Self-Feeding with a Sensor Driven Robotic System

Publication: AI-Driven Sleep Staging Using Instantaneous Heart Rate and Accelerometry: Insights from an Apple Watch Study

Authors: Tzu-An Song, Yubo Zhang, Ziyuan Zhou, Luke Hou, Masoud Malekzadeh, Aida Behzad, Joyita Dutta Abstract Polysomnography, the gold standard for sleep evaluations, involves complex setup and data acquisition protocols and requires manual scoring of sleep data. Smartwatches and other multi-sensor consumer wearable devices with automated sleep staging capabilities offer a promising and scalable alternative for routine and long-term sleep evaluations in individuals. We conducted a multi-night study using a smartwatch for sleep assessment and created an AI-driven automated sleep staging framework based on instantaneous heart rate (IHR) and accelerometry data using sleep stage labels based on electroencephalography (EEG) as the reference. 47 healthy adults were recruited to record their sleep for up to seven consecutive nights using an Apple Watch Series 6 and a Dreem 2 Headband. Our sleep staging framework relies on a…

Continue ReadingPublication: AI-Driven Sleep Staging Using Instantaneous Heart Rate and Accelerometry: Insights from an Apple Watch Study