This Project Grant award of $835,056, provided by the National Institute on Aging (CFDA 93.866 Aging Research), supports the development of a multi-modal system of wearable biosensors and predictive analytics to enable continuous monitoring of mobility and cognitive function in older adults. The primary goals are to: Develop a system of flexible, breathable, and inconspicuous eutectogel sensor patches that can provide real-time monitoring of biophysical domains like gait, posture, heart rate,...
This Project Grant award from the National Institute on Minority Health and Health Disparities (NIMHD), under the Minority Health and Health Disparities Research program (CFDA 93.307), provides $1,170,640 to Advanced Medical Electronics Corp (A M E C) to develop an innovative ring-based sensor system for the diagnosis and monitoring of Parkinson's disease (PD) in underserved rural populations. The objective is to create an inexpensive, easy-to-use wearable device that can be used as a...
This $318,710 federal Project Grant award from the National Institute of Environmental Health Sciences under the Medical Library Assistance (CFDA 93.879) program aims to develop AI-powered wearable sensors for non-invasive monitoring of Parkinson's disease. The key products and services to be delivered include: Computational methods to identify Parkinson's-specific metabolic and peptide biomarkers in sweat, leveraging multi-omics data analysis. Design, fabrication, and optimization of 2D...
This Project Grant award of $309,550.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) supports a study to develop and apply a novel "physical activity (PA) complexity" metric using accelerometer data to explore associations between PA patterns, cognitive function, and risk of Alzheimer's disease and related dementias (ADRD) in an older adult population. The key objectives are to: (1) examine the links between PA complexity, cognitive performance, and risk of...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $955,432 to The Leland Stanford Junior University to investigate the neural mechanisms underlying gait disturbances as digital biomarkers for preclinical dementia, including Alzheimer's disease and Parkinson's disease. The project aims to leverage AI and computer vision tools to integrate multi-modal brain imaging data with gait and movement data from videos, with the goal of extracting...
This National Institute on Aging (NIA) Project Grant award, provided under the Aging Research federal grant program (CFDA 93.866), supports a $197,569 study led by Dr. Emily Paolillo at the University of California, San Francisco (UCSF) to investigate the utility of passive smartphone monitoring to detect neurobehavioral impairment in neurodegenerative diseases like Alzheimer's and frontotemporal dementia. The overarching goal is to evaluate whether smartphone-based digital assessment tools...
The National Institute on Aging (NIA) awarded a $1,901,570 Project Grant (CFDA 93.866 - Aging Research) to Flint Rehabilitation Devices, LLC to develop the MIGO TRACKER, a wearable exercise sensor and remote therapeutic monitoring (RTM) system for individuals recovering from stroke. The primary objectives are to: 1) complete MIGO TRACKER firmware development based on end-user feedback; 2) develop an online HIPAA-compliant RTM dashboard; and 3) conduct a randomized controlled trial to determine...
The National Institute on Aging (NIA) awarded a $441,612 Project Grant (CFDA 93.866 - Aging Research) to Trustees of Boston University's Boston University Medical Campus. The project, titled "LIFE'S ESSENTIAL 8, DIGITAL COGNITIVE MARKERS, AND ALZHEIMER'S DISEASE RISK", aims to leverage digital cognitive assessment tools such as digital pen, voice recordings, and smartphone/wearable measures to monitor early cognitive decline in relation to modifiable risk factors for Alzheimer's...
This $518,693 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund research to develop an integrated framework for recording and decoding multimodal neural associations of visual hallucinations and motor functions in Parkinson's disease (PD). The research team, which includes experts in neural signal processing, neurology, and deep learning, will leverage electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS)...
This Project Grant award, totaling $684,451, was provided by the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) federal grant program. The primary objective is to develop an integrative machine learning pipeline to identify Parkinson's disease (PD) progression subtypes and potential drug targets through analysis of longitudinal clinical, transcriptomic, and neuroimaging data. Key...