Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults

Information

  • Research Project
  • 10274370
  • ApplicationId
    10274370
  • Core Project Number
    P30AG073104
  • Full Project Number
    1P30AG073104-01
  • Serial Number
    073104
  • FOA Number
    RFA-AG-21-009
  • Sub Project Id
  • Project Start Date
    9/30/2021 - 2 years ago
  • Project End Date
    5/31/2026 - 2 years from now
  • Program Officer Name
    BHATTACHARYYA, PARTHA
  • Budget Start Date
    9/30/2021 - 2 years ago
  • Budget End Date
    5/31/2022 - a year ago
  • Fiscal Year
    2021
  • Support Year
    01
  • Suffix
  • Award Notice Date
    9/21/2021 - 2 years ago
Organizations

Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults

The overarching goal of this application is to build an Artificial Intelligence (AI) and Technology Collaboratory (AITC) ecosystem that will serve as a national resource to promote the development and implementation of novel AI and technology approaches to improve care and health outcomes for older Americans. The specific aims are: 1) To engage AI and geriatric/gerontology investigators from across the country and to identify, validate, test, and develop new AI and technologies relevant to improving the health and wellbeing of older adults through crucial pilot study mechanisms; 2) To serve as a national resource center that stimulates and leads the development and implementation of effective novel AI and technology approaches and products that will promote the health, wellbeing and independence of all older Americans; 3) To support the engagement of stakeholders in AI research; 4) To build an ecosystem of overlapping innovation and business, academic, and communities- of-practice networks ; and 5) To provide highest quality expertise, support, and infrastructure needed to disseminate technical and policy guidelines and best practices for effectively incorporating AI approaches and technology for older Americans, in partnership with private industry, angel investors, venture capital firms, and healthcare systems. This AITC is directed by a multi-PI interdisciplinary team led by two world-class experienced investigators who have long worked successfully in the fields of AI and technology development areas partnered with investigators who have long and successfully worked at the translational interface that connects real-world medical, cognitive, and functional declines that impact older adults with medical and technological solutions. Each of these investigators has a complementary skill set and a long track records of organizing transdisciplinary teams and consortiums of investigators around core themes. This interdisciplinary, accomplished, and highly visible leadership team will work together to develop vision for the next generation of AI in aging science and to build a scientifically and culturally diverse community of AI scholars and trainees around Aging. To achieve our goals, we designed the JHU AITC to have robust scientific and technological expertise that are described in eight core components. This infrastructure will support the implementation of stakeholder input and the identification of relevant technologies and investigators locally and nationally through a vetting and feasibility testing process of both technology and data processes. It will include a pilot testing phase and related oversight process. We have also established a key partnership with the Iowa office of Rural Health and Veterans Rural Health Resource Centers Leadership and with organizations within Johns Hopkins University that focus on improvements in the health and well-being of older adults in underserved urban communities. Connections with key academic, industry partners have also been established to accelerate the development of relevant technologies into products. This team is dedicated to developing the next AI scientific advances and disseminating resulting strategies into practice and policy that will maximize health, well-being, and independence for older adults.

IC Name
NATIONAL INSTITUTE ON AGING
  • Activity
    P30
  • Administering IC
    AG
  • Application Type
    1
  • Direct Cost Amount
    2490000
  • Indirect Cost Amount
    1522350
  • Total Cost
    4012350
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    866
  • Ed Inst. Type
    BIOMED ENGR/COL ENGR/ENGR STA
  • Funding ICs
    NIA:4012350\
  • Funding Mechanism
    RESEARCH CENTERS
  • Study Section
    ZAG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    JOHNS HOPKINS UNIVERSITY
  • Organization Department
    ENGINEERING (ALL TYPES)
  • Organization DUNS
    001910777
  • Organization City
    BALTIMORE
  • Organization State
    MD
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    212182680
  • Organization District
    UNITED STATES