grant
Broader Evaluation of TMD Treatment Efficacy and Response (BETTER TMD)
Organization UNIVERSITY OF SOUTHERN CALIFORNIALocation Los Angeles, UNITED STATESPosted 11 Sept 2025Deadline 30 Jun 2030
NIHUS FederalResearch GrantFY2025Academic Medical CentersAddressAdherenceAlgorithmsCatalogsCausalityCharacteristicsChronicClinicClinic VisitsClinicalCollectionCommon Data ElementCustomDataData AnalysesData AnalysisData AnalyticsData BanksData BasesData CollectionData SetData SystemsDatabanksDatabasesDecision MakingDiagnosisDiagnostic ErrorsDiagnostic FindingsDiagnostic MethodDiagnostic ProcedureDiagnostic TechniqueDiseaseDisorderDysfunctionEffectivenessEtiologyEvaluationFaceBaseFunctional disorderGoalsHEAL InitiativeHIPAAHealth Insurance Portability and Accountability ActHelping End Addiction Long-termHelping to End Addiction Long-termIT SystemsImageInformation SystemsInformation Technology SystemsInvestigatorsKennedy Kassebaum ActMeasurementMeasuresMethodologyModalityMuscleMuscle TissueNamesNational Institutes of HealthNatureNeurologicNeurologicalOrofacial PainOutcomeOutcome MeasurePL 104-191PL104-191PainPainfulPatient CarePatient Care DeliveryPatient Outcomes AssessmentsPatient Reported MeasuresPatient Reported OutcomesPatientsPerformancePersonsPhasePhenotypePhysiopathologyPoint-of-Care SystemsPrediction of Response to TherapyPrivate PracticeProcessPublic Law 104-191R-Series Research ProjectsR01 MechanismR01 ProgramReaderReportingResearch GrantsResearch PersonnelResearch Project GrantsResearch ProjectsResearchersSerologySigns and SymptomsSiteSpecialistStructureSymptomsTMD painTMD treatmentTMJ DiseasesTMJ DisordersTMJDTemporomandibular DisordersTemporomandibular Joint DiseasesTemporomandibular Joint DisordersTemporomandibular Joint and Muscle DisorderTemporomandibular disorder painTemporomandibular joint disease painTemporomandibular joint disorder painTestingTimeTreatment EfficacyTreatment ProtocolsTreatment RegimenTreatment ScheduleTreatment outcomeUnited States Health Insurance Portability and Accountability ActUnited States National Institutes of HealthUniversity Medical CentersVisitWorkcare for patientscare of patientscaring for patientscatalogcausationclinical research siteclinical sitecustomized therapycustomized treatmentcustomsdata basedata base structuredata depositorydata interpretationdata repositorydata set repositorydatabase structuredataset repositorydecision making algorithmdetermine efficacydiagnosis errorsdiagnostic algorithmdisease causationefficacy analysisefficacy assessmentefficacy determinationefficacy evaluationefficacy examinationevaluate efficacyevidence baseexamine efficacyhelp seekinghelp-seeking behaviorhuman subject protectionimagingimaging biomarkerimaging markerimaging-based biological markerimaging-based biomarkerimaging-based markerimprovedindividualized medicineindividualized patient treatmentindividualized therapeutic strategyindividualized therapyindividualized treatmentinterestintervention efficacymachine learning based methodmachine learning methodmachine learning methodologiesmeasurable outcomemobile appmobile applicationmobile device applicationmuscularnamenamednamingoral facial painoral motoroutcome measurementpathophysiologypatient advocacy grouppatient specific therapiespatient specific treatmentpatient stratificationpredict therapeutic responsepredict therapy responsepsychosocialresponseresponse to therapyresponse to treatmentscale upstratified patientstructured datatailored medical treatmenttailored therapytailored treatmenttemporomandibular disorder treatmenttherapeutic efficacytherapeutic responsetherapy efficacytherapy predictiontherapy responsetraittreatment planningtreatment predictiontreatment responsetreatment response predictiontreatment responsivenessunique treatment
Description preview
PROJECT SUMMARY/ ABSTRACT (Project 1 BETTER TMD)
C-TMD IMPACT Research Project 1 refers to Broader Evaluation of TMD Treatment Efficacy & Response
(BETTER-TMD) and will address the misdiagnosis and suboptimal treatment decision gaps in the TMDs. The
overall goal of this project is to define and predict which existing treatments are likely to be…
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