Featured Publications
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 Reviews, Practice Guidelines, Standards, and Consensus StatementsApplications 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 ResearchVery 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
2024
Differences Between Serum and Plasma: An Indirect Approach to Derive a Combined Reference Interval for Total Protein, Albumin, and Globulin
Militello L, El-Khoury J, Durant T. Differences Between Serum and Plasma: An Indirect Approach to Derive a Combined Reference Interval for Total Protein, Albumin, and Globulin. American Journal Of Clinical Pathology 2024, 162: s170-s170. DOI: 10.1093/ajcp/aqae129.373.Peer-Reviewed Original ResearchComprehensive metabolic panelSerum separator tubesReference intervalsHealthy individualsClinically significant differencesLithium heparinLaboratory information systemSerum samplesSerum globulinDerivation of reference intervalsRetrospective patient dataTotal proteinMetabolic panelPatient populationInpatient statusExclusion criteriaAccounting for differences between serum and plasma: An indirect approach to derive reference intervals for total protein, albumin, and globulin
Militello L, El-Khoury J, Durant T. Accounting for differences between serum and plasma: An indirect approach to derive reference intervals for total protein, albumin, and globulin. Clinica Chimica Acta 2024, 562: 119851. PMID: 38977172, DOI: 10.1016/j.cca.2024.119851.Peer-Reviewed Original Research2024 ICBE-B: AI/Predictive Model Verification
Durant T, Seheult JN; College of American Pathologists (CAP) Informatics Committee. 2024 ICBE-B: AI/Predictive Model Verification. Northfield, IL: CAP; 2024.Peer-Reviewed Educational MaterialsBiomarkers vs Machines: The Race to Predict Acute Kidney Injury
Ghazi L, Farhat K, Hoenig M, Durant T, El-Khoury J. Biomarkers vs Machines: The Race to Predict Acute Kidney Injury. Clinical Chemistry 2024, 70: 805-819. PMID: 38299927, DOI: 10.1093/clinchem/hvad217.Peer-Reviewed Original ResearchAcute kidney injuryEarly diagnosisInsulin-like growth factor-binding protein 7Prediction of acute kidney injuryGrowth factor-binding protein 7Detect acute kidney injuryNeutrophil gelatinase-associated lipocalinAcute kidney injury detectionClinical practiceIrreversible kidney damageClinical outcome studiesImminent AKISerum creatinineKidney injuryInjury markersPediatric populationCystatin CTissue inhibitorHospitalized patientsClinical useKidney damageRegulatory approvalProtein 7BiomarkersOutcome studies
2023
Retrospective evaluation of clinical decision support for within-laboratory optimization of SARS-CoV-2 NAAT workflow
Durant T, Peaper D. Retrospective evaluation of clinical decision support for within-laboratory optimization of SARS-CoV-2 NAAT workflow. Journal Of Clinical Microbiology 2023, 62: e00785-23. PMID: 38132702, PMCID: PMC10865785, DOI: 10.1128/jcm.00785-23.Peer-Reviewed Original ResearchData Analytics in Clinical Laboratories: Advancing Diagnostic Medicine in the Digital Age
Merrill A, Durant T, Baron J, Klutts J, Obstfeld A, Peaper D, Stoffel M, Wheeler S, Zaydman M. Data Analytics in Clinical Laboratories: Advancing Diagnostic Medicine in the Digital Age. Clinical Chemistry 2023, 69: 1333-1341. PMID: 37962514, DOI: 10.1093/clinchem/hvad183.Commentaries, Editorials and LettersCybersecurity and Information Assurance for the Clinical Laboratory
Patel A, Williams C, Hart S, Garcia C, Durant T, Cornish T, McClintock D. Cybersecurity and Information Assurance for the Clinical Laboratory. The Journal Of Applied Laboratory Medicine 2023, 8: 145-161. PMID: 36610432, DOI: 10.1093/jalm/jfac119.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsInformation securityInformation assuranceZero-trust security modelSensitive healthcare informationMalicious actorsSecurity modelFuture cyberattacksCybersecurity controlsCybersecurity risksHealthcare informationFuture of healthcareCybersecurityCyberattacksExtended downtimeIntegrated systemSecurityAssurance strategiesPatient dataHealthcare organizationsDowntimePatient care operationsInteroperabilityHigh qualityAssuranceHealthcareThe Roadmap to Interoperability and Laboratory Data: Current State and Next Steps
Chang T, Herman D, McClintock D, Durant T. The Roadmap to Interoperability and Laboratory Data: Current State and Next Steps. The Journal Of Applied Laboratory Medicine 2023, 8: 226-228. PMID: 36610435, DOI: 10.1093/jalm/jfac082.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsFrom 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
2022
A preliminary study of hydrocodone and hydromorphone to oxycodone ratios for distinguishing impurities from independent opioid use
Choucair I, Villalba C, Vera M, Cassella-Mclane G, Durant T, El-Khoury J. A preliminary study of hydrocodone and hydromorphone to oxycodone ratios for distinguishing impurities from independent opioid use. Clinical Biochemistry 2022, 112: 6-10. PMID: 36535386, DOI: 10.1016/j.clinbiochem.2022.12.009.Peer-Reviewed Original ResearchConceptsConcentrations of hydrocodoneMean ratioOxycodone pillsPrescription complianceOpioid useUDT resultsMedication recordsOxycodoneAdditional opiatesPatientsHydromorphoneLarger sample sizeAbstractTextHydrocodoneDrug abuseLiquid chromatography-tandem mass spectrometryDrug testingChromatography-tandem mass spectrometryLC-MS/MSFurther validationPreliminary studySample sizeOpiatesSensitive methodPillsArtificial Intelligence Applications in Clinical Chemistry
Bunch D, Durant T, Rudolf J. Artificial Intelligence Applications in Clinical Chemistry. Clinics In Laboratory Medicine 2022, 43: 47-69. PMID: 36764808, DOI: 10.1016/j.cll.2022.09.005.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsContamination of clinical blood samples with crystalloid solutions: An experimental approach to derive multianalyte delta checks
Choucair I, Lee ES, Vera MA, Drongmebaro C, El-Khoury JM, Durant TJS. Contamination of clinical blood samples with crystalloid solutions: An experimental approach to derive multianalyte delta checks. Clinica Chimica Acta 2022, 538: 22-28. PMID: 36309069, DOI: 10.1016/j.cca.2022.10.011.Peer-Reviewed Original ResearchAn Unusual Case of High 6-Monoacetylmorphine and Low Morphine in Urine: Heroin Abuse or Analytical Error?
Choucair I, Cassella-Mclane G, Rogers K, Durant T, El-Khoury J. An Unusual Case of High 6-Monoacetylmorphine and Low Morphine in Urine: Heroin Abuse or Analytical Error? Clinical Chemistry 2022, 68: 1344-1345. PMID: 37619530, DOI: 10.1093/clinchem/hvac110.Peer-Reviewed Case Reports and Technical NotesMachine Learning in Healthcare: Mapping a Path to Title 21
Marin MJ, Van Wijk XMR, Durant TJS. Machine Learning in Healthcare: Mapping a Path to Title 21. Clinical Chemistry 2022, 68: 609-610. PMID: 36149375, DOI: 10.1093/clinchem/hvab285.Commentaries, Editorials and LettersAdvances in molecular infectious diseases testing in the time of COVID-19
Peaper DR, Kerantzas CA, Durant TJS. Advances in molecular infectious diseases testing in the time of COVID-19. Clinical Biochemistry 2022, 117: 94-101. PMID: 35181291, PMCID: PMC8843810, DOI: 10.1016/j.clinbiochem.2022.02.005.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2Infectious diseasesRespiratory syndrome coronavirus 2Syndrome coronavirus 2COVID-19Public health needsCoronavirus 2Health needsDiagnostic testingCoronavirus diseaseLaboratory responseWidespread testingDiseaseCOVID-19 pandemicLaboratory medicineSample collectionPandemicTestingChallenging eventsDiagnostic manufacturersQuality Management to Improve CSF Gram Stain Turnaround Time
Kerantzas CA, Merwede JP, Fadlallah H, Durant TJS, Peaper DR. Quality Management to Improve CSF Gram Stain Turnaround Time. The Journal Of Applied Laboratory Medicine 2022, 7: 782-787. PMID: 35018424, DOI: 10.1093/jalm/jfab165.Peer-Reviewed Original Research
2021
Supervised machine learning in the mass spectrometry laboratory: A tutorial
Lee ES, Durant TJS. Supervised machine learning in the mass spectrometry laboratory: A tutorial. Journal Of Mass Spectrometry And Advances In The Clinical Lab 2021, 23: 1-6. PMID: 34984411, PMCID: PMC8692990, DOI: 10.1016/j.jmsacl.2021.12.001.Peer-Reviewed Educational MaterialsCapabilities of MLMachine learning methodsHigh-dimensional datasetsClassification problemSupervised machineSupervised MLComputer scienceDiscrete data elementsLearning methodsResult qualityData elementsML practicesDatasetSoftwareScientist communityInherent relationshipTutorialMass spectrometry dataPromising synergyMS datasetsData analysisMass spectrometry laboratoriesDistant natureRecent yearsWorkflow