The Experts below are selected from a list of 56994 Experts worldwide ranked by ideXlab platform
Chun-xia Zhao - One of the best experts on this subject based on the ideXlab platform.
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A numerical investigation of drug extravasation using a tumour–vasculature Microfluidic Device
Microfluidics and Nanofluidics, 2018Co-Authors: Hao-fei Wang, Sahan T. W. Kuruneru, Tong Wang, Emilie Sauret, Chun-xia ZhaoAbstract:Understanding drug extravasation from the leaky vasculature to tumour sites based on the enhanced permeability and retention effect (EPR) is of critical importance for designing and improving drug delivery efficiency. This paper reports a tumour–vasculature Microfluidic Device consisting of two microchannels (top channel and bottom channel) separated by a porous membrane. To investigate drug extravasation, a numerical two-phase mixture model was developed and validated using experimental results. This is the first time that a two-phase mixture model is used to investigate drug extravasation through the simulated leaky vasculature in a Microfluidic Device. After the flow structures and drug distribution were numerically examined, the effects of parameters including the velocity of blood flow, drug concentration, and the degree of blood vessel leakiness as represented by the membrane porosity were systematically investigated. This numerical model offers a powerful tool to study drug extravasation through leaky vasculature, and the simulated results provide useful insights into drug extravasation and drug accumulation at tumour sites.
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a numerical investigation of drug extravasation using a tumour vasculature Microfluidic Device
Microfluidics and Nanofluidics, 2018Co-Authors: Hao-fei Wang, Sahan T. W. Kuruneru, Tong Wang, Emilie Sauret, Chun-xia ZhaoAbstract:Understanding drug extravasation from the leaky vasculature to tumour sites based on the enhanced permeability and retention effect (EPR) is of critical importance for designing and improving drug delivery efficiency. This paper reports a tumour–vasculature Microfluidic Device consisting of two microchannels (top channel and bottom channel) separated by a porous membrane. To investigate drug extravasation, a numerical two-phase mixture model was developed and validated using experimental results. This is the first time that a two-phase mixture model is used to investigate drug extravasation through the simulated leaky vasculature in a Microfluidic Device. After the flow structures and drug distribution were numerically examined, the effects of parameters including the velocity of blood flow, drug concentration, and the degree of blood vessel leakiness as represented by the membrane porosity were systematically investigated. This numerical model offers a powerful tool to study drug extravasation through leaky vasculature, and the simulated results provide useful insights into drug extravasation and drug accumulation at tumour sites.
Hao-fei Wang - One of the best experts on this subject based on the ideXlab platform.
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A numerical investigation of drug extravasation using a tumour–vasculature Microfluidic Device
Microfluidics and Nanofluidics, 2018Co-Authors: Hao-fei Wang, Sahan T. W. Kuruneru, Tong Wang, Emilie Sauret, Chun-xia ZhaoAbstract:Understanding drug extravasation from the leaky vasculature to tumour sites based on the enhanced permeability and retention effect (EPR) is of critical importance for designing and improving drug delivery efficiency. This paper reports a tumour–vasculature Microfluidic Device consisting of two microchannels (top channel and bottom channel) separated by a porous membrane. To investigate drug extravasation, a numerical two-phase mixture model was developed and validated using experimental results. This is the first time that a two-phase mixture model is used to investigate drug extravasation through the simulated leaky vasculature in a Microfluidic Device. After the flow structures and drug distribution were numerically examined, the effects of parameters including the velocity of blood flow, drug concentration, and the degree of blood vessel leakiness as represented by the membrane porosity were systematically investigated. This numerical model offers a powerful tool to study drug extravasation through leaky vasculature, and the simulated results provide useful insights into drug extravasation and drug accumulation at tumour sites.
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a numerical investigation of drug extravasation using a tumour vasculature Microfluidic Device
Microfluidics and Nanofluidics, 2018Co-Authors: Hao-fei Wang, Sahan T. W. Kuruneru, Tong Wang, Emilie Sauret, Chun-xia ZhaoAbstract:Understanding drug extravasation from the leaky vasculature to tumour sites based on the enhanced permeability and retention effect (EPR) is of critical importance for designing and improving drug delivery efficiency. This paper reports a tumour–vasculature Microfluidic Device consisting of two microchannels (top channel and bottom channel) separated by a porous membrane. To investigate drug extravasation, a numerical two-phase mixture model was developed and validated using experimental results. This is the first time that a two-phase mixture model is used to investigate drug extravasation through the simulated leaky vasculature in a Microfluidic Device. After the flow structures and drug distribution were numerically examined, the effects of parameters including the velocity of blood flow, drug concentration, and the degree of blood vessel leakiness as represented by the membrane porosity were systematically investigated. This numerical model offers a powerful tool to study drug extravasation through leaky vasculature, and the simulated results provide useful insights into drug extravasation and drug accumulation at tumour sites.
Chen Wang - One of the best experts on this subject based on the ideXlab platform.
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electrical measurement of red blood cell deformability on a Microfluidic Device
Lab on a Chip, 2013Co-Authors: Yi Zheng, John Nguyen, Chen WangAbstract:This paper describes a Microfluidic system and a technique for electrically measuring the deformability of red blood cells (RBCs). RBCs are deformed when they flow through a small capillary (Microfluidic channel). The Microfluidic Device consists of two stages of microchannels as two measurement units for measuring cell size/volume and cell deformability. A low frequency voltage signal is established across the Microfluidic channel, and electrical current signal is sampled continuously when RBCs pass through the measurement areas. Mechanical opacity is defined to mitigate the coupled effect of cell size/volume and deformability. The system performed tests on controlled, glutaraldehyde-treated, and heated RBCs using a number of driving pressures. The experimental results proved the capability of the system for distinguishing different RBC populations based on their deformability with a throughput of ∼10 cells s−1.
Tong Wang - One of the best experts on this subject based on the ideXlab platform.
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A numerical investigation of drug extravasation using a tumour–vasculature Microfluidic Device
Microfluidics and Nanofluidics, 2018Co-Authors: Hao-fei Wang, Sahan T. W. Kuruneru, Tong Wang, Emilie Sauret, Chun-xia ZhaoAbstract:Understanding drug extravasation from the leaky vasculature to tumour sites based on the enhanced permeability and retention effect (EPR) is of critical importance for designing and improving drug delivery efficiency. This paper reports a tumour–vasculature Microfluidic Device consisting of two microchannels (top channel and bottom channel) separated by a porous membrane. To investigate drug extravasation, a numerical two-phase mixture model was developed and validated using experimental results. This is the first time that a two-phase mixture model is used to investigate drug extravasation through the simulated leaky vasculature in a Microfluidic Device. After the flow structures and drug distribution were numerically examined, the effects of parameters including the velocity of blood flow, drug concentration, and the degree of blood vessel leakiness as represented by the membrane porosity were systematically investigated. This numerical model offers a powerful tool to study drug extravasation through leaky vasculature, and the simulated results provide useful insights into drug extravasation and drug accumulation at tumour sites.
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a numerical investigation of drug extravasation using a tumour vasculature Microfluidic Device
Microfluidics and Nanofluidics, 2018Co-Authors: Hao-fei Wang, Sahan T. W. Kuruneru, Tong Wang, Emilie Sauret, Chun-xia ZhaoAbstract:Understanding drug extravasation from the leaky vasculature to tumour sites based on the enhanced permeability and retention effect (EPR) is of critical importance for designing and improving drug delivery efficiency. This paper reports a tumour–vasculature Microfluidic Device consisting of two microchannels (top channel and bottom channel) separated by a porous membrane. To investigate drug extravasation, a numerical two-phase mixture model was developed and validated using experimental results. This is the first time that a two-phase mixture model is used to investigate drug extravasation through the simulated leaky vasculature in a Microfluidic Device. After the flow structures and drug distribution were numerically examined, the effects of parameters including the velocity of blood flow, drug concentration, and the degree of blood vessel leakiness as represented by the membrane porosity were systematically investigated. This numerical model offers a powerful tool to study drug extravasation through leaky vasculature, and the simulated results provide useful insights into drug extravasation and drug accumulation at tumour sites.
Emilie Sauret - One of the best experts on this subject based on the ideXlab platform.
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A numerical investigation of drug extravasation using a tumour–vasculature Microfluidic Device
Microfluidics and Nanofluidics, 2018Co-Authors: Hao-fei Wang, Sahan T. W. Kuruneru, Tong Wang, Emilie Sauret, Chun-xia ZhaoAbstract:Understanding drug extravasation from the leaky vasculature to tumour sites based on the enhanced permeability and retention effect (EPR) is of critical importance for designing and improving drug delivery efficiency. This paper reports a tumour–vasculature Microfluidic Device consisting of two microchannels (top channel and bottom channel) separated by a porous membrane. To investigate drug extravasation, a numerical two-phase mixture model was developed and validated using experimental results. This is the first time that a two-phase mixture model is used to investigate drug extravasation through the simulated leaky vasculature in a Microfluidic Device. After the flow structures and drug distribution were numerically examined, the effects of parameters including the velocity of blood flow, drug concentration, and the degree of blood vessel leakiness as represented by the membrane porosity were systematically investigated. This numerical model offers a powerful tool to study drug extravasation through leaky vasculature, and the simulated results provide useful insights into drug extravasation and drug accumulation at tumour sites.
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a numerical investigation of drug extravasation using a tumour vasculature Microfluidic Device
Microfluidics and Nanofluidics, 2018Co-Authors: Hao-fei Wang, Sahan T. W. Kuruneru, Tong Wang, Emilie Sauret, Chun-xia ZhaoAbstract:Understanding drug extravasation from the leaky vasculature to tumour sites based on the enhanced permeability and retention effect (EPR) is of critical importance for designing and improving drug delivery efficiency. This paper reports a tumour–vasculature Microfluidic Device consisting of two microchannels (top channel and bottom channel) separated by a porous membrane. To investigate drug extravasation, a numerical two-phase mixture model was developed and validated using experimental results. This is the first time that a two-phase mixture model is used to investigate drug extravasation through the simulated leaky vasculature in a Microfluidic Device. After the flow structures and drug distribution were numerically examined, the effects of parameters including the velocity of blood flow, drug concentration, and the degree of blood vessel leakiness as represented by the membrane porosity were systematically investigated. This numerical model offers a powerful tool to study drug extravasation through leaky vasculature, and the simulated results provide useful insights into drug extravasation and drug accumulation at tumour sites.
