Quantifying uncertainties in the microvascular transport of nanoparticles

Biomechanics and Modeling in Mechanobiology

Volumn 13, Issue 3, 2014, Pages 515-526

  Lee, Tae Rin ^a,d   Greene, M Steven ^a   Jiang, Zhen ^a   Kopacz, Adrian M ^a   Decuzzi, Paolo ^d   Chen, Wei ^a   Liu, Wing Kam ^a,b,c  

^a Northwestern University   (United States)

^b Sungkyunkwan University   (South Korea)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^d HOUSTON METHODIST RESEARCH INSTITUTE   (United States)

Author keywords

Bayesian updating; Blood flow simulation; Nanoparticle transport; Uncertainty quantification

Indexed keywords

BLOOD; BLOOD VESSELS; CELLS; DISPERSIONS; FLOW VELOCITY; FORECASTING; HEMODYNAMICS;

BAYESIAN UPDATING; BLOOD FLOW SIMULATIONS; DISPERSION OF NANO PARTICLES; DRIVING FACTORS; MICRO-VASCULATURE; MICROVASCULAR; NANO-PARTICLE DISPERSIONS; NANOPARTICLE TRANSPORT; UNCERTAINTY; UNCERTAINTY QUANTIFICATIONS;

NANOPARTICLES;

NANOPARTICLE;

ARTICLE; BAYES THEOREM; BLOOD FLOW VELOCITY; BLOOD VESSEL DIAMETER; CELL INTERACTION; COMPUTER MODEL; COMPUTER SIMULATION; DISPERSION; ERYTHROCYTE; ERYTHROCYTE DEFORMABILITY; HEMATOCRIT; MICROVASCULATURE; MOLECULAR INTERACTION; NANOPARTICLE TRANSPORT; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; TRANSPORT AND BINDING PHENOMENA; UNCERTAINTY; ANIMAL; ANIMAL MODEL; FINITE ELEMENT ANALYSIS; METABOLISM; MOUSE;

ANIMALS; BAYES THEOREM; FINITE ELEMENT ANALYSIS; MICE; MICROVESSELS; MODELS, ANIMAL; NANOPARTICLES; UNCERTAINTY;

EID: 84905574428     PISSN: 16177959     EISSN: 16177940     Source Type: Journal    
DOI: 10.1007/s10237-013-0513-0     Document Type: Article

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