2024
Internal tremors and vibrations in long COVID: a cross-sectional study
Zhou T, Sawano M, Arun A, Caraballo C, Michelsen T, McAlpine L, Bhattacharjee B, Lu Y, Khera R, Huang C, Warner F, Herrin J, Iwasaki A, Krumholz H. Internal tremors and vibrations in long COVID: a cross-sectional study. The American Journal Of Medicine 2024 PMID: 39069199, DOI: 10.1016/j.amjmed.2024.07.008.Peer-Reviewed Original ResearchNew-onset conditionsInternal tremorLong COVID symptomsCOVID symptomsNon-Hispanic whitesCross-sectional studyQuality of lifeVisual analogue scaleWorse healthHealth statusStudy participantsDemographic characteristicsAnalogue scaleOutcome variablesNeurological conditionsLong COVIDMast cell disordersTreatment experienceHealthComorbiditiesSymptomsMedian agePeopleCell disordersExcess Cardiovascular Mortality Among Black Americans 2000-2022
Arun A, Sawano M, Lu Y, Warner F, Caraballo C, Khera R, Echols M, Yancy C, Krumholz H. Excess Cardiovascular Mortality Among Black Americans 2000-2022. Journal Of The American College Of Cardiology 2024, 84: 581-588. PMID: 38901531, DOI: 10.1016/j.jacc.2024.06.004.Peer-Reviewed Original ResearchLong COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort
Sawano M, Wu Y, Shah R, Zhou T, Arun A, Khosla P, Kaleem S, Vashist A, Bhattacharjee B, Ding Q, Lu Y, Caraballo C, Warner F, Huang C, Herrin J, Putrino D, Michelsen T, Fisher L, Adinig C, Iwasaki A, Krumholz H. Long COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort. The American Journal Of Medicine 2024 PMID: 38663793, DOI: 10.1016/j.amjmed.2024.04.015.Peer-Reviewed Original ResearchExperiences of peopleHealth statusLong COVIDLower health statusNew-onset conditionsCommunity support servicesNon-Hispanic whitesArray of healthQuality of lifeVisual analogue scaleMental healthPsychological distressPsychological statusDescriptive studyHealthcare systemMedian scoreSupport servicesResearch cohortSocial isolationDemographic characteristicsAnalogue scaleImpact of long COVIDHealthFinancial stressParticipants
2022
Association between primary or booster COVID-19 mRNA vaccination and Omicron lineage BA.1 SARS-CoV-2 infection in people with a prior SARS-CoV-2 infection: A test-negative case–control analysis
Lind M, Robertson A, Silva J, Warner F, Coppi A, Price N, Duckwall C, Sosensky P, Di Giuseppe E, Borg R, Fofana M, Ranzani O, Dean N, Andrews J, Croda J, Iwasaki A, Cummings D, Ko A, Hitchings M, Schulz W. Association between primary or booster COVID-19 mRNA vaccination and Omicron lineage BA.1 SARS-CoV-2 infection in people with a prior SARS-CoV-2 infection: A test-negative case–control analysis. PLOS Medicine 2022, 19: e1004136. PMID: 36454733, PMCID: PMC9714718, DOI: 10.1371/journal.pmed.1004136.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionBooster vaccinationPrior infectionOmicron infectionPrimary vaccinationMRNA vaccinationOdds ratioAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionPrior SARS-CoV-2 infectionTest-negative case-control analysisYale New Haven Health SystemTest-negative case-control studyCOVID-19 mRNA vaccinationSyndrome coronavirus 2 infectionOmicron variant infectionPrior infection statusCoronavirus 2 infectionCase-control studyCase-control analysisOdds of infectionRisk of infectionRace/ethnicityBooster dosesDate of test
2010
Diffusion Geometry Based Nonlinear Methods for Hyperspectral Change Detection
Coifman R, Coppi A, Hirn M, Warner F. Diffusion Geometry Based Nonlinear Methods for Hyperspectral Change Detection. 2010 DOI: 10.21236/ada524546.Peer-Reviewed Original ResearchSignal processing algorithmsChange detectionNonlinear signal processing algorithmsHyperspectral Change DetectionGroups of featuresProcessing algorithmsSpatio-spectral featuresProcessing toolboxSegmentation methodologyFeature spaceInvariant featuresSpectral signaturesHyperspectral imagesAnomaly assessmentTarget detectionDifferent conditionsDiffusion geometryTerms of similarityNonlinear methodsSceneGeometry
2006
Geometries of sensor outputs, inference, and information processing
Coifman R, Lafon S, Maggioni M, Keller Y, Szlam A, Warner F, Zucker S. Geometries of sensor outputs, inference, and information processing. Proceedings Of SPIE--the International Society For Optical Engineering 2006, 6232: 623209-623209-10. DOI: 10.1117/12.669723.Peer-Reviewed Original ResearchHyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections
Maggioni M, Davis G, Warner F, Geshwind F, Coppi A, DeVerse R, Coifman R. Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections. Proceedings Of SPIE--the International Society For Optical Engineering 2006, 6091: 60910i-60910i-9. DOI: 10.1117/12.646078.Peer-Reviewed Original ResearchQEEG-Based Classification with Wavelet Packet and Microstate Features for Triage Applications in the ER
Prichep L, Causevic E, Coifman R, Isenhart R, Jacquin A, John E, Maggioni M, Warner F. QEEG-Based Classification with Wavelet Packet and Microstate Features for Triage Applications in the ER. 2006, 3: iii - 1136-iii - 1139. DOI: 10.1109/icassp.2006.1660859.Peer-Reviewed Original Research
2005
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods
Coifman RR, Lafon S, Lee AB, Maggioni M, Nadler B, Warner F, Zucker SW. Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods. Proceedings Of The National Academy Of Sciences Of The United States Of America 2005, 102: 7432-7437. PMID: 15899969, PMCID: PMC1140426, DOI: 10.1073/pnas.0500896102.Peer-Reviewed Original ResearchMarkov matrixMacroscopic descriptionGeometric diffusionMultiscale methodDiffusion semigroupsScaling functionsMultiscale natureNewtonian paradigmHarmonic analysisN algorithmMultiscale analysisComplex structureHeterogeneous structureGeometric organizationSemigroupsData representationMatrixSystem leadCompanion articleDifferent scalesGeneralizationGraphDescriptionAlgorithmProblemGeometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
Coifman RR, Lafon S, Lee AB, Maggioni M, Nadler B, Warner F, Zucker SW. Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps. Proceedings Of The National Academy Of Sciences Of The United States Of America 2005, 102: 7426-7431. PMID: 15899970, PMCID: PMC1140422, DOI: 10.1073/pnas.0500334102.Peer-Reviewed Original ResearchMarkov matrixMacroscopic descriptionGeometric diffusionMultiscale geometryDiffusion semigroupsNewtonian paradigmHarmonic analysisDiffusion mapsUnified viewNumerical analysisComplex structureLocal transitionsGeometric organizationEigenfunctionsSemigroupsMachine learningMatrixSystem leadGeneralizationDifferent scalesGraphDescriptionData analysisGeometryTransition