2017
Extracellular vesicles released by hepatocytes from gastric infusion model of alcoholic liver disease contain a MicroRNA barcode that can be detected in blood
Eguchi A, Lazaro R, Wang J, Kim J, Povero D, Willliams B, Ho S, Stärkel P, Schnabl B, Ohno‐Machado L, Tsukamoto H, Feldstein A. Extracellular vesicles released by hepatocytes from gastric infusion model of alcoholic liver disease contain a MicroRNA barcode that can be detected in blood. Hepatology 2017, 65: 475-490. PMID: 27639178, PMCID: PMC5407075, DOI: 10.1002/hep.28838.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnalysis of VarianceAnimalsBiopsy, NeedleCells, CulturedDisease Models, AnimalExtracellular VesiclesFatty Liver, AlcoholicHepatocytesHumansImmunoblottingImmunohistochemistryMiceMicroRNAsMiddle AgedRandom AllocationReal-Time Polymerase Chain ReactionSampling StudiesSeverity of Illness IndexStatistics, NonparametricYoung AdultConceptsBlood extracellular vesiclesLiver injuryExtracellular vesiclesNuclear factor kappa BAlcoholic liver diseaseChronic liver injuryWeeks of infusionBile duct ligationB-cell lymphoma 2Levels of EVsFactor kappa BSteatohepatitis developmentNonalcoholic steatohepatitisLiver diseaseObese miceHepatic macrophagesDuct ligationKappa BMiR-340Cell originLymphoma 2Intragastric infusionMiceMiRNA signatureTime points
2016
Biospecimen Sharing Among Hispanic Women in a Safety-Net Clinic: Implications for the Precision Medicine Initiative
Nodora J, Komenaka I, Bouton M, Ohno-Machado L, Schwab R, Kim H, Farcas C, Perez G, Martinez M. Biospecimen Sharing Among Hispanic Women in a Safety-Net Clinic: Implications for the Precision Medicine Initiative. Journal Of The National Cancer Institute 2016, 109: djw201. PMID: 27688295, PMCID: PMC5040829, DOI: 10.1093/jnci/djw201.Peer-Reviewed Original ResearchConceptsSafety-net clinicsPrecision Medicine InitiativeHispanic womenUnderserved populationsMedicine InitiativeSafety-net hospitalUS Hispanic populationPatient's physicianIndividualized careConsent ratesBreast biopsyBiospecimen donationHispanic populationClinicHospitalResearch assistantsPhysiciansWomenPersonalized medicineBiospecimenPopulationBiopsy
2000
Using electronic data to predict the probability of true bacteremia from positive blood cultures.
Wang S, Kuperman G, Ohno-Machado L, Onderdonk A, Sandige H, Bates D. Using electronic data to predict the probability of true bacteremia from positive blood cultures. AMIA Annual Symposium Proceedings 2000, 893-7. PMID: 11080013, PMCID: PMC2243892.Peer-Reviewed Original ResearchConceptsPositive blood culturesClinical prediction ruleBlood culturesTreatment decisionsTrue bacteremiaCulture resultsPositive blood culture resultsPrediction rulePaper chart reviewProbability of bacteremiaBlood culture resultsInfectious disease expertsAppropriate treatment decisionsLogistic regression modelsRevalidation studyChart reviewDisease expertsOne-year periodBacteremiaPhysiciansRegression modelsTrue positivesPatientsHospitalHousestaff
1998
Improving machine learning performance by removing redundant cases in medical data sets.
Ohno-Machado L, Fraser H, Ohrn A. Improving machine learning performance by removing redundant cases in medical data sets. AMIA Annual Symposium Proceedings 1998, 523-7. PMID: 9929274, PMCID: PMC2232167.Peer-Reviewed Original ResearchMeSH KeywordsArea Under CurveArtificial IntelligenceDatabases as TopicHumansMyocardial InfarctionNeural Networks, ComputerRandom AllocationROC Curve