grant
Craving-based Digital Phenotyping During MOUD Treatment
Organization UNIV OF MASSACHUSETTS MED SCH WORCESTERLocation WORCESTER, UNITED STATESPosted 30 Sept 2024Deadline 31 Jul 2029
NIHUS FederalResearch GrantFY2025ActiqAdanonAddressAfter CareAfter-TreatmentAftercareAlgorithmsAlthoseBehavior Conditioning TherapyBehavior ModificationBehavior TherapyBehavior TreatmentBehavioral Conditioning TherapyBehavioral ModificationBehavioral TherapyBehavioral TreatmentBuprenorphineCaringCharacteristicsClinicalClinical DataClinical TrialsCompanionsConditioning TherapyDataData SetDevelopmentDevicesDiacetylmorphineDiagnosisDiamorphineDigital biomarkerDolophineDoseDrugsDuragesicDysfunctionEventFentanestFentanylFentylFrequenciesFunctional disorderHeroinHeterogeneityHumanIn SituIndividualIndividual DifferencesInvestigatorsKnowledgeMachine LearningMeasuresMediationMediatorMedicationMethadoneMethadoseModelingModern ManMonitorMorbidityMorbidity - disease rateNalorexNaltrexoneNegotiatingNegotiationNemexinNeuropsychologiesNeuropsychologyOpiatesOpioidOutcomeParticipantPatternPersonsPharmaceutical PreparationsPhenotypePhentanylPhysiologicPhysiologicalPhysiologyPhysiopathologyPrecision therapeuticsPublic HealthReViaRecoveryResearch PersonnelResearchersSleepStreamStressTechnologyTimeToxicologyTrainingTreatment EfficacyTreatment outcomeUnited StatesVivitroladdictionaddictive disorderalgorithm developmentbehavior interventionbehavioral interventionbody sensorbody worn sensorcravingdata captured from wearablesdata collected from wearablesdata collected using wearablesdata gathered from wearabledata gathered through wearablesdata gathered via wearabledata infrastructuredata streamsdevelopmentaldigitaldigital diagnosticdigital healthdigital interventiondigital markerdigital monitoringdigital phenotypingdisease phenotypedisease subgroupsdisease subtypedisorder subtypedrug/agentexperienceimprovedinsightintervention efficacylicit opioidmachine based learningmachine learning based modelmachine learning modelmedication for opioid use disordermobile appmobile applicationmobile device applicationmortalitymulti-modal datamulti-modal datasetsmultimodal datamultimodal datasetsneurobehavioralneuropsychologicnovelopen sourceopiate consumptionopiate crisisopiate drug useopiate intakeopiate medicationopiate useopiate use disorderopioid consumptionopioid crisisopioid drug useopioid epidemicopioid intakeopioid medicationopioid useopioid use disorderpathophysiologypost treatmentprecision medicineprecision therapiesprecision treatmentprecision-based medicineprescribed opiateprescribed opioidprescription opiateprescription opioidprospectivepsychosocialreturn to usesensorsignal processingsocio-demographicssociodemographicssoftware infrastructuresuccesssustained recoverytech developmenttechnology developmenttherapeutic efficacytherapy efficacytooltraittreatment effecttreatment strategywearable biosensorwearable datawearable device datawearable sensorwearable sensor datawearable sensor technology
Description preview
Project Summary
The current opioid crisis in the United States has staggering public health implications. Medications for opioid
use disorder (MOUD) reduce morbidity and mortality in OUD, however rates of return to opioid use after
treatment initiation are still high. Craving is a critical component of OUD, and the heterogeneity with which it…
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