R44AG076067
Project Grant
Overview
Grant Description
Optimization of an at-home continuous multi-domain monitoring and assessment system to improve Alzheimer's and related disorders clinical trials - Summary/Abstract:
Alzheimer’s disease and Alzheimer’s disease-related dementias (AD/ADRD) adversely impact our large and growing aging population. An estimated 5.8 million American’s 65 years and older are suffering from AD, with that number projected to hit 13.8 million by 2050.
Aging African American and Latinx populations are particularly hard-hit by AD/ADRD, as are rural communities due to lack of access to clinical trials and medical care.
A broad range of symptoms are associated with these diseases and each patient’s progression is unique and clinically quite variable. During a clinical trial, when longitudinal studies are conducted over months to years, much of the patient’s lifestyle and function goes unmonitored as they are at home with their partner or alone and without contact with professional providers.
Infrequent data collection relies on the ability of patients to accurately retrieve relevant details about their lives since the last checkup, which is inherently inaccurate or incomplete due to the challenges of self-report and recall.
Thus, there is a critical need in clinical trials for more frequent, accurate, and complete patient monitoring especially in communities that are currently underserved.
To meet this need, Life Analytics is furthering the development of an at-home monitoring platform, called Life Analytics Monitoring Platform (LAMP). LAMP is based off of the NIH and VA funded Collaborative Aging Research using Technology (CART) initiative system.
CART is an end-to-end (hardware and software) platform, which provides high-frequency monitoring of geriatric disease progression by measuring real-world data, thus providing a digital remote assessment model to the academic research community.
The CART system was built by, and has been further developed by, our research team in the Oregon Center for Aging and Technology (ORCATECH). Through these efforts a highly functional generalizable infrastructure for support and deployment of these systems for academic research has been established.
To date, the ORCATECH/CART platform has been installed in more than 1000 homes across North America and is currently collecting and transmitting data back to ORCATECH servers for analysis.
Additionally, the LA team has shown through publication that high-frequency in-home monitoring data allows clinical studies to be appropriately powered with fewer patients. Therefore, this platform has the high potential to change the way that clinical trials are conducted – if such a system can be broadly disseminated.
This FastTrack will assist with the critical research and development required to improve the existing ORCATECH/CART platform into the commercialized LAMP platform through the following aims:
SA 1 (Phase I): Migrate ORCATECH/CART system to secure and scalable cloud operability.
SA 2 (Phase II): Optimization of LAMP for data transfer, storage, and analysis.
SA 3 (Phase II): Demonstrate LAMP usability with alpha-testing with a third party, off-site location.
Alzheimer’s disease and Alzheimer’s disease-related dementias (AD/ADRD) adversely impact our large and growing aging population. An estimated 5.8 million American’s 65 years and older are suffering from AD, with that number projected to hit 13.8 million by 2050.
Aging African American and Latinx populations are particularly hard-hit by AD/ADRD, as are rural communities due to lack of access to clinical trials and medical care.
A broad range of symptoms are associated with these diseases and each patient’s progression is unique and clinically quite variable. During a clinical trial, when longitudinal studies are conducted over months to years, much of the patient’s lifestyle and function goes unmonitored as they are at home with their partner or alone and without contact with professional providers.
Infrequent data collection relies on the ability of patients to accurately retrieve relevant details about their lives since the last checkup, which is inherently inaccurate or incomplete due to the challenges of self-report and recall.
Thus, there is a critical need in clinical trials for more frequent, accurate, and complete patient monitoring especially in communities that are currently underserved.
To meet this need, Life Analytics is furthering the development of an at-home monitoring platform, called Life Analytics Monitoring Platform (LAMP). LAMP is based off of the NIH and VA funded Collaborative Aging Research using Technology (CART) initiative system.
CART is an end-to-end (hardware and software) platform, which provides high-frequency monitoring of geriatric disease progression by measuring real-world data, thus providing a digital remote assessment model to the academic research community.
The CART system was built by, and has been further developed by, our research team in the Oregon Center for Aging and Technology (ORCATECH). Through these efforts a highly functional generalizable infrastructure for support and deployment of these systems for academic research has been established.
To date, the ORCATECH/CART platform has been installed in more than 1000 homes across North America and is currently collecting and transmitting data back to ORCATECH servers for analysis.
Additionally, the LA team has shown through publication that high-frequency in-home monitoring data allows clinical studies to be appropriately powered with fewer patients. Therefore, this platform has the high potential to change the way that clinical trials are conducted – if such a system can be broadly disseminated.
This FastTrack will assist with the critical research and development required to improve the existing ORCATECH/CART platform into the commercialized LAMP platform through the following aims:
SA 1 (Phase I): Migrate ORCATECH/CART system to secure and scalable cloud operability.
SA 2 (Phase II): Optimization of LAMP for data transfer, storage, and analysis.
SA 3 (Phase II): Demonstrate LAMP usability with alpha-testing with a third party, off-site location.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Redwood City,
California
940624146
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 07/31/22 to 11/30/24 and the total obligations have increased 582% from $453,828 to $3,094,239.
Life Analytics was awarded
Alzheimer's Monitoring System Optimization for Clinical Trials
Project Grant R44AG076067
worth $3,094,239
from National Institute on Aging in February 2022 with work to be completed primarily in Redwood City California United States.
The grant
has a duration of 2 years 9 months and
was awarded through assistance program 93.866 Aging Research.
The Project Grant was awarded through grant opportunity Administrative Supplements to Promote Diversity in Small Businesses-SBIR/STTR (Admin Supp Clinical Trial Not Allowed).
SBIR Details
Research Type
SBIR Phase I
Title
Optimization of an at-home continuous multi-domain monitoring and assessment system to improve Alzheimer's and related disorders clinical trials
Abstract
Summary/Abstract: Alzheimer’s Disease and Alzheimer’s Disease-Related Dementias (AD/ADRD) adversely impact our large and growing aging population. An estimated 5.8 million American’s 65 years and older are suffering from AD, with that number projected to hit 13.8 million by 2050. Aging African American and Latinx populations are particularly hard-hit by AD/ADRD, as are rural communities due to lack of access to clinical trials and medical care. A broad range of symptoms are associated with these diseases and each patient’s progression is unique and clinically quite variable. During a clinical trial, when longitudinal studies are conducted over months to years, much of the patient’s lifestyle and function goes unmonitored as they are at home with their partner or alone and without contact with professional providers. Infrequent data collection relies on the ability of patients to accurately retrieve relevant details about their lives since the last checkup, which is inherently inaccurate or incomplete due to the challenges of self-report and recall. Thus, there is a critical need in clinical trials for more frequent, accurate, and complete patient monitoring especially in communities that are currently underserved. To meet this need, Life Analytics is furthering the development of an at-home monitoring platform, called Life Analytics Monitoring Platform (LAMP). LAMP is based off of the NIH and VA funded Collaborative Aging Research Using Technology (CART) initiative system. CART is an end-to-end (hardware and software) platform, which provides high-frequency monitoring of geriatric disease progression by measuring real-world data, thus providing a digital remote assessment model to the academic research community. The CART system was built by, and has been further developed by, our research team in the Oregon Center for Aging and Technology (ORCATECH). Through these efforts a highly functional generalizable infrastructure for support and deployment of these systems for academic research has been established. To date, the ORCATECH/CART platform has been installed in more than 1000 homes across North America and is currently collecting and transmitting data back to ORCATECH servers for analysis. Additionally, the LA team has shown through publication that high-frequency in-home monitoring data allows clinical studies to be appropriately powered with fewer patients. Therefore, this platform has the high potential to change the way that clinical trials are conducted – if such a system can broadly disseminated. This Fastrack will assist with the critical research and development required to improve the existing ORCATECH/CART platform into the commercialized LAMP platform through the following Aims: SA 1 (Phase I): Migrate ORCATECH/CART system to secure and scalable cloud operability. SA 2 (Phase II): Optimization of LAMP for data transfer, storage, and analysis. SA 3 (Phase II): Demonstrate LAMP usability with Alpha-testing with a third party, off-site location.
Topic Code
NIA
Solicitation Number
PAS19-316
Status
(Complete)
Last Modified 7/5/24
Period of Performance
2/1/22
Start Date
11/30/24
End Date
Funding Split
$3.1M
Federal Obligation
$0.0
Non-Federal Obligation
$3.1M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R44AG076067
Transaction History
Modifications to R44AG076067
Additional Detail
Award ID FAIN
R44AG076067
SAI Number
R44AG076067-2195405305
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Small Business
Awarding Office
75NN00 NIH NATIONAL INSITUTE ON AGING
Funding Office
75NN00 NIH NATIONAL INSITUTE ON AGING
Awardee UEI
TDLSV4NKV5W3
Awardee CAGE
8WPY4
Performance District
CA-16
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Institute on Aging, National Institutes of Health, Health and Human Services (075-0843) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,686,938 | 100% |
Modified: 7/5/24