grant

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

Organization JOHNS HOPKINS UNIVERSITYLocation BALTIMORE, UNITED STATESPosted 30 Sept 2021Deadline 31 May 2027
NIHUS FederalResearch GrantFY2025AD dementiaAI algorithmAI systemAI technologyAccelerationAgingAlzheimer Type DementiaAlzheimer disease dementiaAlzheimer sclerosisAlzheimer syndromeAlzheimer'sAlzheimer's DiseaseAlzheimers DementiaAmentiaAmericanAreaArtificial IntelligenceBiometricsBiometryBiostatisticsBusinessesCapitalCare GiversCaregiversCaringCenter Core GrantsChronic DiseaseChronic IllnessClinicClinicalClinical ServicesCognitive DisturbanceCognitive ImpairmentCognitive declineCognitive function abnormalCommunicationCommunitiesCommunity of PracticeComputer ReasoningComputer Vision SystemsCountryDataData ScienceDedicationsDementiaDevelopmentDisturbance in cognitionDyskinesia SyndromesEcologic SystemsEcological SystemsEcosystemEducationEducational aspectsElderlyEndowmentGeographyGerontologyGoalsGuidelinesHealthHealth CareHealth Care ProvidersHealth Care SystemsHealth PersonnelHealth PromotionHealth ResourcesHealth Services EvaluationHealth Services ResearchHumanImageImpaired cognitionIndividualIndustryInfrastructureInstitutionInternationalInvestigatorsIowaLeadershipMachine IntelligenceMedicalMedical Care ResearchMentorsMethodsMissionModern ManMovement Disorder SyndromesMovement DisordersNatural Language ProcessingNerve DegenerationNeuron DegenerationOlder PopulationOutcomeP30 AwardP30 GrantP30 MechanismP30 ProgramParalysis AgitansParkinsonParkinson DiseasePersonal SatisfactionPersonsPhasePilot ProjectsPoliciesPrimary ParkinsonismPrimary Senile Degenerative DementiaPrivatizationProcessQOLQuality of lifeRecordsReportingResearchResearch PersonnelResearch ResourcesResearchersResourcesRobotRural CommunityRural HealthSalutogenesisScienceScientific Advances and AccomplishmentsSightTechnologyTestingTrainingUniversitiesUrban CommunityVeteransVisionVoiceWorkadvanced agearmartificial intelligence algorithmartificial intelligence technologychronic disorderclinical translationclinical validationclinically translatablecognitive dysfunctioncognitive losscollaboratorycomputer visiondecline in functiondecline in functional statusdeep learningdeep learning methoddeep learning strategydesigndesigningdevelopmentalempowermentexperiencefeasibility testingfunctional declinefunctional status declinegeriatricgerontologichealth care personnelhealth care workerhealth providerhealth workforceimagingimprovedindustrial partnershipindustry partnerindustry partnershipinnovateinnovationinnovativeinterdisciplinary collaborationinterestmedical personnelnatural language understandingneural degenerationneurodegenerationneurodegenerativeneurological degenerationneuronal degenerationnew technologynext generationnovelnovel technologiesolder adultolder adulthoodolder groupsolder individualsolder personpilot studypilot testprimary degenerative dementiaproduct developmentprogramspromoting healthresilienceresilientrural under servedrural underservedscientific accomplishmentsscientific advancessearchable data basesearchable databasesenile dementia of the Alzheimer typesenior citizensensing datasensorsensor dataservices researchskillssocio-economicsocio-economicallysocioeconomicallysocioeconomicsspeech processingstakeholder insightsstakeholder perspectivestech developmenttechnology developmenttechnology platformtechnology systemtooltransdisciplinary collaborationtreatment providertrendurban under servedurban underservedvisual functionwell-beingwellbeing
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Full Description

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.

Grant Number: 5P30AG073104-05
NIH Institute/Center: NIH

Principal Investigator: Rama Chellappa

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