grant

Improving intensive insulin therapy through the personalization of data-driven decision support system to patients’ goals and preferences and its adaptation to long term health needs

Organization UNIVERSITY OF VIRGINIALocation CHARLOTTESVILLE, UNITED STATESPosted 24 Jul 1996Deadline 31 Jan 2031
NIHUS FederalResearch GrantFY202621+ years oldAddressAdultAdult HumanAreaBrittle Diabetes MellitusCaringCharacteristicsCircadian RhythmsClinicalClinical EvaluationClinical TestingClinical Trials DesignCompensationComplicationConsensusContinuous Glucose MonitorCross-Over DesignsCrossover DesignD-GlucoseDataData AnalysesData AnalysisDecision Support SystemsDextroseDiabetes MellitusEcologic SystemsEcological SystemsEcosystemEngineeringEnvironmentExcess MortalityExposure toFatigueFearFoodFosteringFrightGeneral PopulationGeneral PublicGlucoseGoalsGrantGuidelinesHealthHealth Care ProvidersHealth PersonnelHumulin RHyperglycemiaHypoglycemiaIDDMIndividualIndividuals from minorityIndividuals of minorityInfusionInfusion proceduresInjectionsInsulinInsulin-Dependent Diabetes MellitusJuvenile-Onset Diabetes MellitusKetosis-Prone Diabetes MellitusLack of EnergyMinority GroupsMinority PeopleMinority PopulationMinority individualModernizationNovolin RNyctohemeral RhythmPancreatic beta CellPancreatic β-CellPatientsPeriodicalsPersonal SatisfactionPersonalized medical approachPersonsPhysical activityProliferatingRandomizedRandomized Controlled Clinical TrialsRegular InsulinRouteStressStructure of beta Cell of isletSudden-Onset Diabetes MellitusSurvey InstrumentSurveysSystemSystems DevelopmentT1 DMT1 diabetesT1DT1DMTechnologyTimeTwenty-Four Hour RhythmType 1 Diabetes MellitusType 1 diabetesType I Diabetes Mellitusadulthoodalgorithm developmentanalogarmautoimmune attackautoimmune destructionautoimmune pathogenesisavoidance behaviorcircadian processcircadian rhythmicityclinical testclinical validationcontinuous blood glucose monitorcontinuous blood sugar monitorcontinuous glucose measurementcontinuous sugar monitordaily biorhythmdata interpretationdesigndesigningdiabetesdigital twinexperienceglucometerglucose meterglucose monitorglycemic controlhealth care personnelhealth care workerhealth providerhealth staffhealth workershealth workforcehealthcare employeeshealthcare staffhealthcare workforcehyperglycemichypoglycemichypoglycemic episodesimprovedindividualized approachindividualized clinical decisionindividualized decisioninfusionsinsulin dependent diabetesinsulin dependent type 1insulin secretionjuvenile diabetesjuvenile diabetes mellitusketosis prone diabetesmedical care providersmedical personnelmonitoring devicenew drug treatmentsnew drugsnew pharmacological therapeuticnew technologynew therapeuticsnew therapynext generation therapeuticsnovelnovel drug treatmentsnovel drugsnovel pharmaco-therapeuticnovel pharmacological therapeuticnovel technologiesnovel therapeuticsnovel therapypancreas beta cellpancreas β cellpancreatic b-cellperiodicperiodicalpersonalization of treatmentpersonalized approachpersonalized clinical decisionpersonalized data-driven decisionpersonalized decisionpersonalized medicinepersonalized therapypersonalized treatmentprecision approachpreferencerandomisationrandomizationrandomized control clinical trialrandomly assignedresearch clinical testingsafety and feasibilitysafety assessmentsatisfactionsimulationsubcutaneoussubdermaltailored approachtechnology platformtechnology systemtooltreatment providertype I diabetestype one diabetesvirtualwell-beingwellbeing
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ABSTRACT
Suboptimal insulin replacement is common in type 1 diabetes (T1D), increasing the occurrence of hypoglycemia,

hyperglycemia, and abnormal glucose variability. And while technologies have revolutionized diabetes care over

the past three decades, many if not most people with T1D continue to struggle to meet consensus glycemic

guidelines.…

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Improving intensive insulin therapy through the personalization of data-driven decision support system to patients’ goal | Dev Procure