Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults
Project Number5P30AG073104-04
Contact PI/Project LeaderCHELLAPPA, RAMA Other PIs
Awardee OrganizationJOHNS HOPKINS UNIVERSITY
Description
Abstract Text
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.
Public Health Relevance Statement
As the number of older adults increases, many older adults live with conditions that profoundly impact
their health, well-being, and ability to maintain independence. Artificial Intelligence offers an
unprecedented opportunity to mitigate the impact of aging, to arm health care providers with new tools
and to empower older adults including those with Alzheimer’s Dementia and their caregivers. The Johns
Hopkins AI and Technology Collaboratory ecosystem will serve as a national resource to promote and
guide the development and implementation of novel AI and technology approaches to improve care and
health outcomes for older Americans.
No Sub Projects information available for 5P30AG073104-04
Publications
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