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Improving longitudinal mental health monitoring to generate personalized guides and timely referrals

Organization MIRESOURCE, INC.Location Foster city, UNITED STATESPosted 12 Sept 2025Deadline 14 Mar 2026 ⚠️
NIHUS FederalResearch GrantFY20250-11 years oldAI basedAI language modelsAddressAdherenceAdolescentAdolescent YouthAdverse ExperienceAdverse eventAgeAppointmentAwardCaringChildChild YouthChildren (0-21)ClinicalCommunicationComputer softwareData BasesDatabasesDirectoriesEarly identificationEducationEducational aspectsEnsureEvaluationFeedbackFoundationsGenerationsGoalsHealth Care ProvidersHealth PersonnelHealth ResourcesHigh PrevalenceImpairmentIndividualInfrastructureInterventionJournalsLeadLinkMagazineManualsMental HealthMental Health ServicesMental HygieneMental Hygiene ServicesMental disordersMental health disordersMethodsMindMonitorParticipantPatient-Centered CarePatientsPatternPb elementPersonsPhaseProviderPsychiatric DiseasePsychiatric DisorderPsychological HealthPublished DirectoryRecommendationRelapseResearch ResourcesResourcesRetrievalSTTRSmall Business Technology Transfer ResearchSoftwareSourceStreamStudent recruitmentStudentsSymptomsSystemTestingTherapeuticTimeTransformer language modelTreatment EffectivenessTreatment EfficacyTreatment outcomeTriageUpdateadult youthage groupagesartificial intelligence basedartificial intelligence language modelsassess effectivenesschronic mental illnessclinical relevanceclinically relevantcollegecollegiatedata basedesigndesigningdetermine effectivenessdetermine efficacydigital ecosystemeditorialeffectiveness assessmenteffectiveness evaluationefficacy analysisefficacy assessmentefficacy determinationefficacy evaluationefficacy examinationevaluate effectivenessevaluate efficacyexamine effectivenessexamine efficacyexperiencehealth care personnelhealth care workerhealth providerhealth workforceheavy metal Pbheavy metal leadimprovedintervention efficacyjuvenilejuvenile humankidslarge language modellarge scale language modelmassive scale language modelsmedical personnelmental health caremental illnessmobile appmobile applicationmobile computingmobile device applicationmobile platformmobile technologymosaicmulti-modalitymultimodalityold agepersistent mental illnesspreventpreventingprogramspsychiatric illnesspsychological disordersatisfactionserious mental disorderserious mental illnesssevere mental disordersevere mental illnesssoftware as a servicesource guidessuccesstherapeutic efficacytherapy efficacytooltreatment provideruser-friendlyyoung adultyoung adult ageyoung adulthoodyoungster

Applications closed.

Description preview

This proposal addresses the need for a scalable and engaging method for patients to track their mental health
so they can receive high-quality, effective, and patient-centered care recommendations and referrals. It aims to
decrease the ~50% gap of untreated mental illness3 and shorten the average decade-long time to care2 from
symptom onset to…

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