2017
An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning
Sallis BF, Erkert L, Moñino-Romero S, Acar U, Wu R, Konnikova L, Lexmond WS, Hamilton MJ, Dunn WA, Szepfalusi Z, Vanderhoof JA, Snapper SB, Turner JR, Goldsmith JD, Spencer LA, Nurko S, Fiebiger E. An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning. Journal Of Allergy And Clinical Immunology 2017, 141: 1354-1364.e9. PMID: 29273402, PMCID: PMC6425755, DOI: 10.1016/j.jaci.2017.11.027.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAlgorithmsChildChild, PreschoolDecision Support Systems, ClinicalDecision Support TechniquesEosinophilic EsophagitisFactor Analysis, StatisticalFemaleGenetic MarkersHumansImmunohistochemistryInfantMachine LearningMaleRegistriesRNA, MessengerSensitivity and SpecificitySingle-Blind MethodConceptsAllergic statusEosinophilic esophagitisPatient's allergic statusGastroesophageal reflux diseaseBiopsies of patientsEpsilon germ-line transcriptsEoE patientsReflux diseaseAllergic inflammationIgE productionSerum IgEEquivocal patientsPatient subpopulationsDiagnostic evaluationIndividualized therapyEquivocal casesPrimary analysisPatient careGerm-line transcriptsEoEPatientsDiagnostic precisionEsophagitisScoresTherapy
2000
Microinvasive Carcinoma (T1mic) of the Breast
Prasad M, Osborne M, Giri D, Hoda S. Microinvasive Carcinoma (T1mic) of the Breast. The American Journal Of Surgical Pathology 2000, 24: 422-428. PMID: 10716157, DOI: 10.1097/00000478-200003000-00012.Peer-Reviewed Original ResearchConceptsDuct carcinomaMicroinvasive carcinomaPositive axillary lymphChest wall recurrenceFoci of invasionHigh-grade nucleiUnderwent lumpectomyAxillary lymphTNM criteriaClinicopathologic dataTubular carcinomaMean ageInvasive fociRadiation therapyAnticytokeratin antibodyEquivocal casesMammographic abnormalitiesPatientsRoutine examinationCarcinomaMuscle actinHistologic slidesMean numberOcular micrometerMICB
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