2025
Positive affect amplifies integration within episodic memories in the laboratory and the real world.
Pratt J, Wemm S, Harris B, Huang Y, Sinha R, Goldfarb E. Positive affect amplifies integration within episodic memories in the laboratory and the real world. Learning & Memory 2025, 32: a053971. PMID: 39870487, PMCID: PMC11801478, DOI: 10.1101/lm.053971.124.Peer-Reviewed Original ResearchConceptsPositive eventsReal worldEpisodic memoryEmotional eventsConsistent with past findingsTime of retrievalImpact of emotionsParticipants' emotional responsesMemory accuracyAssess memoryPositive affectExperiment 1Experiment 2Memory integrationEmotional responsesEmotional statesMemoryMemory structureNegative experiencesMemory featuresLaboratory environmentAccuracySmartphoneAuthor Response: Thrombectomy vs Medical Management for Posterior Cerebral Artery Stroke: Systematic Review, Meta-Analysis, and Real-World Data
Chen H, Colasurdo M, Khunte M, Malhotra A, Gandhi D. Author Response: Thrombectomy vs Medical Management for Posterior Cerebral Artery Stroke: Systematic Review, Meta-Analysis, and Real-World Data. Neurology 2025, 104: e209774. PMID: 39841951, DOI: 10.1212/wnl.0000000000209774.Peer-Reviewed Original Research
2024
Prospective and External Validation of an Ensemble Learning Approach to Sensitively Detect Intravenous Fluid Contamination in Basic Metabolic Panels
Spies N, Militello L, Farnsworth C, El-Khoury J, Durant T, Zaydman M. Prospective and External Validation of an Ensemble Learning Approach to Sensitively Detect Intravenous Fluid Contamination in Basic Metabolic Panels. Clinical Chemistry 2024, 71: 296-306. PMID: 39545815, DOI: 10.1093/clinchem/hvae168.Peer-Reviewed Original ResearchSHapley Additive exPlanationsLearning approachDetection of contamination eventsUnsupervised learning approachLearning-based methodsMachine learning-based methodsEnsemble learning approachMachine learning pipelineEnsemble learningLearning pipelineMatthews correlation coefficientAlgorithmic fairnessReal worldSHapley Additive exPlanations valuesCurrent workflowsClinical workflowWorkflowOperational burdenBasic metabolic panelIntravenous (IVPipelineInternal validation setValidation setFlagging ratesPerformance assessmentA Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology
D'Amico S, Sauta E, Asti G, Delleani M, Zazzetti E, Campagna A, Lanino L, Maggioni G, Ubezio M, Todisco G, Russo A, Tentori C, Buizza A, Franchi M, Dall'Olio L, Bicchieri M, Zampini M, Brindisi M, Ficara F, Riva E, Ventura D, Crisafulli L, Pinocchio N, Della Porta A, Jacobs F, Zambelli A, Savevski V, Santoro A, Sole F, Platzbecker U, Fenaux P, Diez-Campelo M, Garcia-Manero G, Haferlach T, Kordasti S, Castellani G, Efficace F, Santini V, Zeidan A, Komrokji R, Della Porta M. A Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology. Blood 2024, 144: 2221-2221. DOI: 10.1182/blood-2024-209634.Peer-Reviewed Original ResearchArtificial intelligenceData sharingDigital twinFederated learning platformSynthetic data generatorSHapley Additive exPlanationsImage dataDT platformDecision support systemMultimodal longitudinal dataAI-based toolsUnstructured informationAI frameworkData model formatElectronic health recordsMultimodal dataMultimodal informationPatient informationData integrationAI modelsData generationCentral repositoryTechnology implementation methodMultiple sources of informationReal worldReal-World Healthcare Costs Among Patients With Chronic Lymphocytic Leukemia Receiving First-Line Treatment With Venetoclax + Obinutuzumab Versus Bruton Tyrosine Kinase Inhibitors
Ravelo A, Patel A, To T, Li S, Huntington S. Real-World Healthcare Costs Among Patients With Chronic Lymphocytic Leukemia Receiving First-Line Treatment With Venetoclax + Obinutuzumab Versus Bruton Tyrosine Kinase Inhibitors. Clinical Lymphoma Myeloma & Leukemia 2024, 24: s180. DOI: 10.1016/s2152-2650(24)00569-x.Peer-Reviewed Original ResearchInductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods?
Mathis W, Zhao S, Pratt N, Weleff J, De Paoli S. Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods? Computer Methods And Programs In Biomedicine 2024, 255: 108356. PMID: 39067136, DOI: 10.1016/j.cmpb.2024.108356.Peer-Reviewed Original ResearchLanguage modelThematic analysisInductive thematic analysisQualitative thematic analysisGenerative artificial intelligenceSemi-structured interviewsLocal hardwareArtificial intelligenceHealth informationReal worldPsychiatric settingsHuman codingQualitative interviewsQualitative dataEvaluation methodologyQuantify similarityRobust themesThemesResearch settingsTraditional methodsEngineering techniquesInterviewsEvaluation methodQualitative researchCorpus of interviews270-OR: Real-World Outcomes with the Omnipod 5 Automated Insulin Delivery (AID) System for >7,500 Users with High HbA1c (>9%) at Baseline
FORLENZA G, SHERR J, DESALVO D, ALEPPO G, WILMOT E, BERGET C, HUYETT L, HADJIYIANNI I, MENDEZ J, CONROY L, LY T. 270-OR: Real-World Outcomes with the Omnipod 5 Automated Insulin Delivery (AID) System for >7,500 Users with High HbA1c (>9%) at Baseline. Diabetes 2024, 73 DOI: 10.2337/db24-270-or.Peer-Reviewed Original ResearchAmateur vs Professional Users of the YO Home Sperm Test: An Assessment of Usability
Bar-Chama N, Rabinovitch L, Honig S. Amateur vs Professional Users of the YO Home Sperm Test: An Assessment of Usability. Urology 2024, 190: 162-169. PMID: 38705243, DOI: 10.1016/j.urology.2024.04.001.Peer-Reviewed Original Research
2023
Navigation in immersive virtual reality: a comparison of 1:1 walking to 1:1 wheeling
Weser V, Sieberer J, Berry J, Tuakli-Wosornu Y. Navigation in immersive virtual reality: a comparison of 1:1 walking to 1:1 wheeling. Virtual Reality 2023, 28: 4. DOI: 10.1007/s10055-023-00901-0.Peer-Reviewed Original ResearchVirtual environmentComplex virtual environmentsVirtual reality experienceImmersive virtual realityVR developersVirtual worldVR locomotionLocomotion techniquesUser experienceSystem usabilityReality experienceVirtual realityReal worldSimulator sicknessMost applicationsVRDiverse needsSpatial updating taskDevelopersUsabilityUsersNavigationUpdating taskNegative affectApplicationsLaboratory and Real-World Experimental Approaches to Understanding Alcohol Relapse
Milivojevic V, Sinha R. Laboratory and Real-World Experimental Approaches to Understanding Alcohol Relapse. Current Topics In Behavioral Neurosciences 2023, 1-25. PMID: 37985542, DOI: 10.1007/7854_2023_456.Peer-Reviewed Original ResearchAlcohol use disorderUse disordersHuman laboratory proceduresHuman laboratory modelRelapse riskAlcohol cuesBiobehavioral markersPsychobiological mechanismsStress dysregulationChronic alcohol useAlcohol relapseAlcohol useEffective interventionsNovel interventionsStress biologyReal worldDisordersInterventionCuesSignificant implicationsSignificant treatment challengeHigher relapse riskAUDRisk factorsAdaptation898-P: Real-World Glycemic Outcomes of >3,300 Children and Adolescents with Type 1 Diabetes Using the Omnipod 5 Automated Insulin Delivery (AID) System with Cloud-Based Data Management
SHERR J, DESALVO D, HUYETT L, SNOW K, MENDEZ J, HADJIYIANNI I, LY T. 898-P: Real-World Glycemic Outcomes of >3,300 Children and Adolescents with Type 1 Diabetes Using the Omnipod 5 Automated Insulin Delivery (AID) System with Cloud-Based Data Management. Diabetes 2023, 72 DOI: 10.2337/db23-898-p.Peer-Reviewed Original ResearchCloud-based data managementCloud-based data management systemsJuvenile Diabetes Research FoundationType 1 diabetesUploading of dataNational Institutes of HealthData management systemAge groupsEvaluate real-world outcomesContinuous glucose monitoringGlycemic outcomesAutomatic uploadCloud-basedData managementReal worldUsersMedian timePersonalized therapyGlucose targetsManagement systemInstitutes of HealthTime of analysisReal-world outcomesMedtronicSystem useMultiple visual objects are represented differently in the human brain and convolutional neural networks
Mocz V, Jeong S, Chun M, Xu Y. Multiple visual objects are represented differently in the human brain and convolutional neural networks. Scientific Reports 2023, 13: 9088. PMID: 37277406, PMCID: PMC10241785, DOI: 10.1038/s41598-023-36029-z.Peer-Reviewed Original ResearchConceptsObject representationsConvolutional neural networkMultiple visual objectsHuman brainRecurrent processingVisual objectsProcessing regionsSingle-unit levelObject pairsIT neuronsFMRI voxelsSingle objectConstituent objectsPrimate brainBrain dataNeural networkDifferent contextsResponse patternsObject classificationReal worldObjectsRepresentationUnit levelBrainSuch distortionsDevelopment in uncertain contexts: An ecologically informed approach to understanding decision-making during adolescence
Conley M, Baskin-Sommers A. Development in uncertain contexts: An ecologically informed approach to understanding decision-making during adolescence. Cognitive, Affective, & Behavioral Neuroscience 2023, 23: 739-745. PMID: 36737586, DOI: 10.3758/s13415-023-01067-7.Peer-Reviewed Original ResearchConceptsSocial environmentEconomic riskDevelopmental researchYouth’s social environmentProbabilities of outcomesAdolescents' social environmentEconomic ambiguityPeriod of developmentExperimental tasksUncertainty paradigmExperimental paradigmAdolescenceDay choiceAdolescentsDay experiencesFuture researchUncertain contextBasic processesReal worldFoundational knowledgeParadigmAmbiguityChoiceResearchDecisions
2022
Soft Actor-Critic with Inhibitory Networks for Retraining UAV Controllers Faster
Choi M, Filter M, Alcedo K, Walker T, Rosenbluth D, Ide J. Soft Actor-Critic with Inhibitory Networks for Retraining UAV Controllers Faster. 2022, 00: 1561-1570. DOI: 10.1109/icuas54217.2022.9836052.Peer-Reviewed Original ResearchSoft Actor-CriticDeep reinforcement learningUnmanned aerial vehiclesActor-CriticAutonomous unmanned aerial vehiclesRealistic simulation environmentLow-level controlNon-stationary environmentsDRL agentDRL algorithmCatastrophic forgettingReinforcement learningBaseline methodsSimulation environmentUAV controllerSample efficiencyAerial vehiclesReal worldDifficult taskProportional-IntegralNovel approachNetworkActive researchValue evaluationAlgorithmStyle transformed synthetic images for real world gaze estimation by using residual neural network with embedded personal identities
Wang Q, Wang H, Dang R, Zhu G, Pi H, Shic F, Hu B. Style transformed synthetic images for real world gaze estimation by using residual neural network with embedded personal identities. Applied Intelligence 2022, 53: 2026-2041. DOI: 10.1007/s10489-022-03481-9.Peer-Reviewed Original ResearchGaze directionNatural human-robot interactionPersonal identitySynthetic imagesHuman-robot interactionResidual neural networkNeural network structureSignificant performance gainsGaze estimationBenchmark datasetsTraining dataArt resultsNeural networkGaze interactionCurrent best resultsSocial communicationPerformance gainsReal worldNew personBetter resultsStyle transformationNetwork structureDatasetImagesNetworkHow Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?
Zhuang C, Xiang V, Bai Y, Jia X, Turk-Browne N, Norman K, DiCarlo J, Yamins D. How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? Advances In Neural Information Processing Systems 2022, 35: 22628-22642. PMID: 38435074, PMCID: PMC10906807.Peer-Reviewed Original ResearchSelf-supervised algorithmLearning algorithmsReal-timeStreams of visual inputNeural network modelHuman learning abilitiesMoCo v2Catastrophic forgettingLearning benchmarksLearning capabilityVisual inputReal worldHuman learnersNetwork modelVisual knowledgeLeverage memoryPerformance of modelsAlgorithmHuman performanceBenchmarksNegative samplesContext-sensitiveLearning abilityLearningVision setting
2018
Hallucinations and Strong Priors
Corlett PR, Horga G, Fletcher PC, Alderson-Day B, Schmack K, Powers AR. Hallucinations and Strong Priors. Trends In Cognitive Sciences 2018, 23: 114-127. PMID: 30583945, PMCID: PMC6368358, DOI: 10.1016/j.tics.2018.12.001.Peer-Reviewed Original ResearchConceptsAberrant perceptionsClinical hallucinationsRecent empirical workConstructive natureHuman behaviorIdentifiable stimuliEmpathic approachPrior beliefsLight of workPerceptionHallucinationsEmpirical workStrong priorsReal worldLaboratory phenomenonNeural networkStimuliApparent disconnectBeliefsPsychosisIndividualsHealthy subjectsSupportInference
2011
Assessing the Quality of Diffusion Models using Real-World Social Network Data
Kuo T, Hung S, Lin W, Lin S, Peng T, Shih C. Assessing the Quality of Diffusion Models using Real-World Social Network Data. 2011, 200-205. DOI: 10.1109/taai.2011.42.Peer-Reviewed Original ResearchIndependent Cascade ModelMicro-blog dataLinear threshold modelMicro-blogInformation propagationReal worldSocial networksIndirect schemePlurkCascade modelEvaluation frameworkIn-degreeNetwork DataSchemeCascading phenomenaFrameworkDifferent circumstancesPageRankTwitterNetworkDataFacebookDiffusion eventsModelDiffusion model
2007
Who is IT? Inferring Role and Intent from Agent Motion
Crick C, Doniec M, Scassellati B. Who is IT? Inferring Role and Intent from Agent Motion. 2007, 134-139. DOI: 10.1109/devlrn.2007.4354065.Peer-Reviewed Original Research
2006
Social development [robots]
Scassellati B, Crick C, Gold K, Kim E, Shic F, Sun G. Social development [robots]. IEEE Computational Intelligence Magazine 2006, 1: 41-47. DOI: 10.1109/mci.2006.1672987.Peer-Reviewed Original ResearchHuman childrenAutonomous mental developmentType of learningHigh-dimensional state spaceSocial roboticsMachine learningMost robotsChildren's capabilitiesPresence of parentsMental developmentRobotic systemRobotHuman adultsReal worldDimensional state spaceSocial developmentCauses of errorsSupportive environmentDifficult problemChildrenTaskLearningState spaceAdultsEnvironment
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