grant
Automated speech assessment for diagnosis of FTD spectrum disorders
Organization MAYO CLINIC ROCHESTERLocation ROCHESTER, UNITED STATESPosted 1 May 2024Deadline 31 Jan 2029
NIHUS FederalResearch GrantFY202521+ years oldAD detectionAD related dementiaADRDAddressAdultAdult HumanAlzheimer disease detectionAlzheimer's and related dementiasAlzheimer's dementia and related dementiaAlzheimer's dementia or related dementiaAlzheimer's detectionAlzheimer's disease and related dementiaAlzheimer's disease and related disordersAlzheimer's disease or a related dementiaAlzheimer's disease or a related disorderAlzheimer's disease or related dementiaAlzheimer's disease related dementiaAmentiaAreaArticulationAutomationCaringCause of DeathCell Communication and SignalingCell PhoneCell SignalingCellular PhoneCellular TelephoneCharacteristicsClassificationClinicClinicalCognitiveDataData SetDementiaDetectionDevelopmentDiagnosisDimensionsDiseaseDisorderDistributed SystemsEconomic BurdenEquipmentFTD dementiaFailureFoundationsFrontal Temporal DementiaFrontotemporal DementiaFundingFutureGoalsHeadIndividualIntracellular Communication and SignalingLabelLanguageLinguisticLinguisticsMachine LearningMobile PhonesModelingNational Institute of AgingNational Institute on AgingNeighborhoodsOn-Line SystemsOnline SystemsPathologistPatient CarePatient Care DeliveryPatientsPerformancePrevalenceProspective StudiesProviderQOCQuality of CareResearchResearch ProposalsResearch SupportSample SizeSamplingSelf AdministeredSelf AdministrationSignal TransductionSignal Transduction SystemsSignalingSpecialistSpeechSpeech DisordersSpeech ManifestationsSpeech PathologistSystematicsTabletsTechnologyTestingTrainingUnited StatesUpdateValidationVoiceWorkaccurate diagnosisadulthoodanalyzing longitudinalautomated assessmentautomated evaluationbiological signal transductioncare for patientscare of patientscaring for patientsclinical practicecohortcomputer based predictiondeep learningdeep learning based modeldeep learning methoddeep learning modeldeep learning strategydevelopmentaldigital technologydigital tooldigital toolkitdisabilityfallsfeature detectionfeature extractionfeature recognitionfront temporal dementiafrontal lobe dementiafrontotemporal degenerationfrontotemporal lobar degeneration dementiafrontotemporal lobar dementiafrontotemporal lobe degeneration associated with dementiaiPhoneimprovedinnovateinnovationinnovativeinsightinterestlarge data setslarge datasetslongitudinal analysismachine based learningonline computerperformance testspredictive modelingprospectiverecruitself supervisedself supervised learningself supervisionsmart phonesmartphonesocialspeech language pathologisttoolvalidation studiesvalidationsweb based
Description preview
PROJECT SUMMARY/ABSTRACT
Alzheimer’s Disease and Related Dementias (ADRDs) are major causes of death and disability in the United
States, with the number of adults with ADRDs projected to reach 13 million by 2050. Among these, the
frontotemporal degeneration (FTD) spectrum disorders are among the most common causes of dementia in
younger…
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