2024
A primer for quantum computing and its applications to healthcare and biomedical research
Durant T, Knight E, Nelson B, Dudgeon S, Lee S, Walliman D, Young H, Ohno-Machado L, Schulz W. A primer for quantum computing and its applications to healthcare and biomedical research. Journal Of The American Medical Informatics Association 2024, 31: 1774-1784. PMID: 38934288, PMCID: PMC11258415, DOI: 10.1093/jamia/ocae149.Peer-Reviewed Original Research
2023
From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights
Hänsel K, Dudgeon S, Cheung K, Durant T, Schulz W. From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights. Journal Of Medical Systems 2023, 47: 65. PMID: 37195430, PMCID: PMC10191934, DOI: 10.1007/s10916-023-01951-2.Commentaries, Editorials and LettersConceptsKnowledge graphReal-world dataGraph modelBiomedical data integrationGraph data modelIntegrated Knowledge GraphBiomedical knowledge graphsElectronic health recordsData integrationData insightsData modelInsight generationBiomedical informationHealth recordsArt researchGraphNovel approachCombination of dataDisease phenotypingInformationPrecision medicine researchHealthcareIntegrationEHRIntriguing opportunity
2021
Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes
Durant TJS, Dudgeon SN, McPadden J, Simpson A, Price N, Schulz WL, Torres R, Olson EM. Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes. Clinical Chemistry 2021, 68: 218-229. PMID: 34969114, DOI: 10.1093/clinchem/hvab237.Peer-Reviewed Original ResearchClinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection
McPadden J, Warner F, Young HP, Hurley NC, Pulk RA, Singh A, Durant TJS, Gong G, Desai N, Haimovich A, Taylor RA, Gunel M, Dela Cruz CS, Farhadian SF, Siner J, Villanueva M, Churchwell K, Hsiao A, Torre CJ, Velazquez EJ, Herbst RS, Iwasaki A, Ko AI, Mortazavi BJ, Krumholz HM, Schulz WL. Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection. PLOS ONE 2021, 16: e0243291. PMID: 33788846, PMCID: PMC8011821, DOI: 10.1371/journal.pone.0243291.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionYale New Haven HealthSARS-CoV-2Hospital mortalityRisk of admissionMale sexRisk factorsSARS-CoV-2 testingInvasive mechanical ventilationSevere acute respiratory syndrome virusBurden of diseaseRT-PCR testingAcademic health systemDiverse patient populationsRespiratory syndrome virusEthnic groupsAdult patientsClinical characteristicsDischarge dispositionRespiratory supportPrimary outcomeTreatment guidelinesMechanical ventilationRetrospective studyPatient populationArtificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review
Herman DS, Rhoads DD, Schulz WL, Durant TJS. Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review. Clinical Chemistry 2021, 67: 1466-1482. PMID: 34557917, DOI: 10.1093/clinchem/hvab165.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsArtificial intelligenceML systemsModern artificial intelligenceAI/MLAdoption of MLExpert human operatorMachine learning methodsModern computingCommunication infrastructureHuman operatorLearning methodsInformation systemsWidespread digitizationIntelligenceHealth informationTechnologyImplementationComputingBrief introductionBest practicesSystemDigitizationInfrastructureTaskInformationLongitudinal Assessment of SARS-CoV-2 Anti-Nucleocapsid and anti-Spike-1-RBD Antibody Testing Following PCR-Detected SARS-CoV-2 Infection
El-Khoury JM, Schulz WL, Durant TJS. Longitudinal Assessment of SARS-CoV-2 Anti-Nucleocapsid and anti-Spike-1-RBD Antibody Testing Following PCR-Detected SARS-CoV-2 Infection. The Journal Of Applied Laboratory Medicine 2021, 6: jfab030-. PMID: 33822964, PMCID: PMC8083453, DOI: 10.1093/jalm/jfab030.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionDays post-PCR positivitySARS-CoV-2-positive cohortRBD antibodiesAnti-SARSSerologic assaysSARS-CoV-2 serologic assaysDiagnostic sensitivityElecsys Anti-SARSCoV-2 SResidual clinical samplesAntibody testingRemote historyCoV-2S1-RBDUS populationLongitudinal assessmentInfection statusInfectionDiagnostic aidCohortTime pointsDiscrepant resultsClinical samplesPositivityToward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft
Mori M, Durant TJS, Huang C, Mortazavi BJ, Coppi A, Jean RA, Geirsson A, Schulz WL, Krumholz HM. Toward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft. Circulation Cardiovascular Quality And Outcomes 2021, 14: e007363. PMID: 34078100, PMCID: PMC8635167, DOI: 10.1161/circoutcomes.120.007363.Peer-Reviewed Original ResearchConceptsCoronary artery bypass graftArtery bypass graftIntraoperative variablesBypass graftLogistic regression modelsOperative mortalityC-statisticCoronary artery bypass graft casesThoracic Surgeons Adult Cardiac Surgery DatabaseAdult Cardiac Surgery DatabaseMean patient ageGood c-statisticCardiac Surgery DatabaseBrier scoreRisk restratificationDynamic risk predictionIntraoperative deathsPostoperative complicationsPostoperative eventsAdverse eventsPatient agePreoperative variablesRegression modelsGraft casesSurgery Database
2017
Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes
Durant T, Olson EM, Schulz WL, Torres R. Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes. Clinical Chemistry 2017, 63: 1847-1855. PMID: 28877918, DOI: 10.1373/clinchem.2017.276345.Peer-Reviewed Original ResearchConceptsConvolutional neural networkNeural networkDeep convolutional neural networkDense shortcut connectionsNeural network designSlow manual processSignificant labor costsClassification of erythrocytesWeb applicationCapable machinesUnseen dataShortcut connectionsManual processEnsemble model predictionsDigital imagesPrecision metricsArchitectural considerationsNetwork designAutomated profilingClassification frequencyMisclassification errorPractical performanceFinal databaseHarmonic meanNetwork
2020
Evaluation of a Risk Stratification Model Using Preoperative and Intraoperative Data for Major Morbidity or Mortality After Cardiac Surgical Treatment
Durant TJS, Jean RA, Huang C, Coppi A, Schulz WL, Geirsson A, Krumholz HM. Evaluation of a Risk Stratification Model Using Preoperative and Intraoperative Data for Major Morbidity or Mortality After Cardiac Surgical Treatment. JAMA Network Open 2020, 3: e2028361. PMID: 33284333, DOI: 10.1001/jamanetworkopen.2020.28361.Peer-Reviewed Original ResearchImpact of intra-tumoral heterogeneity detected by next-generation sequencing on acute myeloid leukemia survival
Schulz WL, Rinder HM, Durant TJS, Tormey CA, Torres R, Smith BR, Hager KM, Howe JG, Siddon AJ. Impact of intra-tumoral heterogeneity detected by next-generation sequencing on acute myeloid leukemia survival. Leukemia & Lymphoma 2020, 61: 3269-3271. PMID: 32715805, DOI: 10.1080/10428194.2020.1797016.Peer-Reviewed Original ResearchImpact of COVID-19 Pandemic on Laboratory Utilization
Durant TJS, Peaper DR, Ferguson D, Schulz WL. Impact of COVID-19 Pandemic on Laboratory Utilization. The Journal Of Applied Laboratory Medicine 2020, 5: 1194-1205. PMID: 32663258, PMCID: PMC7454564, DOI: 10.1093/jalm/jfaa121.Peer-Reviewed Original ResearchMeSH KeywordsBetacoronavirusClinical Laboratory ServicesClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingFacilities and Services UtilizationHumansIncidencePandemicsPneumonia, ViralPolymerase Chain ReactionReagent Kits, DiagnosticRetrospective StudiesSARS-CoV-2Specimen HandlingAgile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform
Schulz WL, Durant T, Torre CJ, Hsiao AL, Krumholz HM. Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform. Journal Of Medical Internet Research 2020, 22: e18707. PMID: 32442130, PMCID: PMC7257473, DOI: 10.2196/18707.Peer-Reviewed Original ResearchConceptsReal-time dataHealth information technologyReal-world dataHealth platformInformation technologyCombination of technologiesReal timeSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2Timely informationRespiratory syndrome coronavirus 2PlatformRespiratory tract infectionsSyndrome coronavirus 2Health care systemTract infectionsCoronavirus disease (COVID-19) outbreakIncident casesCoronavirus 2Novel applicationTechnologyAnalyticsHealth systemCare systemSpecific pathogens
2016
Evaluation of relational and NoSQL database architectures to manage genomic annotations
Schulz WL, Nelson BG, Felker DK, Durant TJ, Torres R. Evaluation of relational and NoSQL database architectures to manage genomic annotations. Journal Of Biomedical Informatics 2016, 64: 288-295. PMID: 27810480, DOI: 10.1016/j.jbi.2016.10.015.Peer-Reviewed Original ResearchConceptsRelational databaseNoSQL databasesQuery efficiencyData managementData storageDocument-oriented NoSQL databaseBiomedical data setsCommon relational databaseQuery retrievalDatabase technologyInformatics infrastructureRelational modelGenomic annotationsIndexingData setsArchitectureRetrievalAnnotationNew technologiesDatabaseTechnologySignificant advantagesRelative advantagesInfrastructureStorage
2015
Impact of Molecular Clonality on Survival in Acute Myeloid Leukemia
Schulz W, Durant T, Rinder H, Tormey C, Torres R, Smith B, Hager K, Howe J, Siddon A. Impact of Molecular Clonality on Survival in Acute Myeloid Leukemia. Blood 2015, 126: 1385. DOI: 10.1182/blood.v126.23.1385.1385.Peer-Reviewed Original ResearchDe novo acute myeloid leukemiaNovo acute myeloid leukemiaAcute myeloid leukemiaMolecular clonalityAML patientsTumor heterogeneityMyeloid leukemiaNext-generation sequencingNormal-risk subjectsAdverse prognostic indicatorTime of diagnosisFurther prospective studiesLong-term outcomesFLT3-ITD mutationHigh-risk groupChoice of therapyFirst prospective evidenceLimited clinical utilityHigh-risk classificationEarly survivalStudy patientsOverall survivalPatient agePatient subsetsInitial diagnosis