2023
PET Quantification and Kinetic Analysis
Carson R, Naganawa M, Gallezot J. PET Quantification and Kinetic Analysis. 2023, 183-194. DOI: 10.1007/978-3-031-35098-6_12.ChaptersMathematical modelingLinearized techniqueModel simplificationApplication of modelingApplication of modelsModeling techniquesModel validationTracer kinetic modeling techniquesEquationsInput functionModelingKinetic modeling techniquesModelCompartment modelOptimizationAlternative approachAccurate measurementApplicationsSimplificationDynamics
2018
“Essentially, all models are wrong, but some are useful”—a cross-disciplinary agenda for building useful models in cell biology and biophysics
Berro J. “Essentially, all models are wrong, but some are useful”—a cross-disciplinary agenda for building useful models in cell biology and biophysics. Biophysical Reviews 2018, 10: 1637-1647. PMID: 30421276, PMCID: PMC6297095, DOI: 10.1007/s12551-018-0478-4.Peer-Reviewed Original Research
2013
Probabilistic uncertainty analysis of epidemiological modeling to guide public health intervention policy
Gilbert JA, Meyers LA, Galvani AP, Townsend JP. Probabilistic uncertainty analysis of epidemiological modeling to guide public health intervention policy. Epidemics 2013, 6: 37-45. PMID: 24593920, PMCID: PMC4316830, DOI: 10.1016/j.epidem.2013.11.002.Peer-Reviewed Original ResearchConceptsProbabilistic uncertainty analysisParameter uncertaintiesTypical sensitivity analysisUncertainty analysisDynamic modelDynamic infectious disease modelsSensitivity analysisMathematical modelingEpidemiological modelingInfectious disease modelIntervention policiesPublic health intervention policiesGlobal uncertaintyPolicy makersModel predictionsEpidemiological outcomesQuantitative predictionsProbability of successPoint estimatesPolicyUncertaintyLevel of vaccinationRelative importanceModelingHealth policyComplexity of Receptor Tyrosine Kinase Signal Processing
Volinsky N, Kholodenko BN. Complexity of Receptor Tyrosine Kinase Signal Processing. Cold Spring Harbor Perspectives In Biology 2013, 5: a009043. PMID: 23906711, PMCID: PMC3721286, DOI: 10.1101/cshperspect.a009043.Peer-Reviewed Original ResearchConceptsCombinatorial varietySignal processingMathematical modelingSpecific system propertiesSpecific cell fate decisionsSystem propertiesNetwork behaviorReceptor tyrosine kinasesMultiple feedsSpatiotemporal dynamicsComputational approachExcitable responseIntricate landscapeCell fate decisionsSpecific cellular outcomesPathway cross talkOscillationsBistabilityNetwork circuitryDynamicsModelingTranscriptional controlAdapts cellsCellular outcomes
2010
Translational Research in Surgical Disease
Stojadinovic A, Ahuja N, Nazarian SM, Segev DL, Jacobs L, Wang Y, Eberhardt J, Zeiger MA. Translational Research in Surgical Disease. JAMA Surgery 2010, 145: 187-196. PMID: 20157088, DOI: 10.1001/archsurg.2009.280.Peer-Reviewed Original ResearchConceptsMathematical modeling
2008
Mathematical Modeling of Tuberculosis Transmission Dynamics
Cohen T, Colijn C, Murray M. Mathematical Modeling of Tuberculosis Transmission Dynamics. 2008, 227-243. DOI: 10.1002/9783527611614.ch44.Peer-Reviewed Original ResearchMathematical modelBehavior of epidemicsSimple mathematical modelEpidemic modelMathematical modelingTuberculosis transmission dynamicsTuberculosis dynamicsDynamic modelNatural courseTB epidemicDynamicsNatural historyInfectious diseasesTransmission dynamicsMycobacterium tuberculosisDiseaseModelQuantitative insightsKey parametersInterventionEpidemicImportant toolComplicating factorsPotential effectsModeling
2003
Kinetics of the initial stage of immunoagglutionation studied with the scanning flow cytometer
Surovtsev I, Yurkin M, Shvalov A, Nekrasov V, Sivolobova G, Grazhdantseva A, Maltsev V, Chernyshev A. Kinetics of the initial stage of immunoagglutionation studied with the scanning flow cytometer. Colloids And Surfaces B Biointerfaces 2003, 32: 245-255. DOI: 10.1016/s0927-7765(03)00177-2.Peer-Reviewed Original ResearchWhy are there so few key mutant clones? The influence of stochastic selection and blocking on affinity maturation in the germinal center
Kleinstein SH, Singh JP. Why are there so few key mutant clones? The influence of stochastic selection and blocking on affinity maturation in the germinal center. International Immunology 2003, 15: 871-884. PMID: 12807826, DOI: 10.1093/intimm/dxg085.sgm.Peer-Reviewed Original Research
1988
Phase space analysis of EEG in temporal lobe epilepsy
Iasemidis L, Zaveri H, Sackellares J, Williams W. Phase space analysis of EEG in temporal lobe epilepsy. 1988, 1201-1203 vol.3. DOI: 10.1109/iembs.1988.94874.Peer-Reviewed Original ResearchPhase space methodIntegral correlation functionPhase space analysisLargest Lyapunov exponentBetter mathematical modelingPhase spaceLyapunov exponentsMathematical modelingCorrelation functionsLower dimensionAttractorsSpace analysisMinimum numberNecessary parametersUnderlying processCorresponding dimensionsNeural networkExponentDimensions
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