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matlab m-f-pbpk model  (MathWorks Inc)


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    Structured Review

    MathWorks Inc matlab m-f-pbpk model
    First, the model was built in Simcyp V22 for the healthy non-pregnant population by optimizing and verifying the Δ 9 -THC elimination and distribution kinetics after intravenous administration. Then, Δ 9 -THC absorption kinetics and 11-OH-THC elimination and distribution kinetics were verified after inhalation and oral Δ 9 -THC consumption. The Δ 9 -THC kinetics in the non-pregnant model were also verified through drug-drug interaction and pharmacogenetic studies. Then, using our in-house m-f-PBPK model, built in <t>MATLAB</t> Simulink R2023a, which includes the placental and fetal compartments as well as gestational age-dependent physiological changes, the umbilical venous plasma (UVP) and fetal tissue concentrations were predicted. Figure was created with BioRender.com.
    Matlab M F Pbpk Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab m-f-pbpk model/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab m-f-pbpk model - by Bioz Stars, 2026-06
    90/100 stars

    Images

    1) Product Images from "Quantification and prediction of human fetal (-)-Δ 9 -tetrahydrocannabinol/(±)-11-OH-Δ 9 -tetrahydrocannabinol exposure during pregnancy to inform fetal cannabis toxicity"

    Article Title: Quantification and prediction of human fetal (-)-Δ 9 -tetrahydrocannabinol/(±)-11-OH-Δ 9 -tetrahydrocannabinol exposure during pregnancy to inform fetal cannabis toxicity

    Journal: Nature Communications

    doi: 10.1038/s41467-025-55863-5

    First, the model was built in Simcyp V22 for the healthy non-pregnant population by optimizing and verifying the Δ 9 -THC elimination and distribution kinetics after intravenous administration. Then, Δ 9 -THC absorption kinetics and 11-OH-THC elimination and distribution kinetics were verified after inhalation and oral Δ 9 -THC consumption. The Δ 9 -THC kinetics in the non-pregnant model were also verified through drug-drug interaction and pharmacogenetic studies. Then, using our in-house m-f-PBPK model, built in MATLAB Simulink R2023a, which includes the placental and fetal compartments as well as gestational age-dependent physiological changes, the umbilical venous plasma (UVP) and fetal tissue concentrations were predicted. Figure was created with BioRender.com.
    Figure Legend Snippet: First, the model was built in Simcyp V22 for the healthy non-pregnant population by optimizing and verifying the Δ 9 -THC elimination and distribution kinetics after intravenous administration. Then, Δ 9 -THC absorption kinetics and 11-OH-THC elimination and distribution kinetics were verified after inhalation and oral Δ 9 -THC consumption. The Δ 9 -THC kinetics in the non-pregnant model were also verified through drug-drug interaction and pharmacogenetic studies. Then, using our in-house m-f-PBPK model, built in MATLAB Simulink R2023a, which includes the placental and fetal compartments as well as gestational age-dependent physiological changes, the umbilical venous plasma (UVP) and fetal tissue concentrations were predicted. Figure was created with BioRender.com.

    Techniques Used: Clinical Proteomics



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    matlab m-f-pbpk model  (MathWorks Inc)
    90
    MathWorks Inc matlab m-f-pbpk model
    First, the model was built in Simcyp V22 for the healthy non-pregnant population by optimizing and verifying the Δ 9 -THC elimination and distribution kinetics after intravenous administration. Then, Δ 9 -THC absorption kinetics and 11-OH-THC elimination and distribution kinetics were verified after inhalation and oral Δ 9 -THC consumption. The Δ 9 -THC kinetics in the non-pregnant model were also verified through drug-drug interaction and pharmacogenetic studies. Then, using our in-house m-f-PBPK model, built in <t>MATLAB</t> Simulink R2023a, which includes the placental and fetal compartments as well as gestational age-dependent physiological changes, the umbilical venous plasma (UVP) and fetal tissue concentrations were predicted. Figure was created with BioRender.com.
    Matlab M F Pbpk Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab m-f-pbpk model/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab m-f-pbpk model - by Bioz Stars, 2026-06
    90/100 stars
    		  Buy from Supplier
    m-f pbpk matlab model  (MathWorks Inc)
    90
    MathWorks Inc m-f pbpk matlab model
    First, the model was built in Simcyp V22 for the healthy non-pregnant population by optimizing and verifying the Δ 9 -THC elimination and distribution kinetics after intravenous administration. Then, Δ 9 -THC absorption kinetics and 11-OH-THC elimination and distribution kinetics were verified after inhalation and oral Δ 9 -THC consumption. The Δ 9 -THC kinetics in the non-pregnant model were also verified through drug-drug interaction and pharmacogenetic studies. Then, using our in-house m-f-PBPK model, built in <t>MATLAB</t> Simulink R2023a, which includes the placental and fetal compartments as well as gestational age-dependent physiological changes, the umbilical venous plasma (UVP) and fetal tissue concentrations were predicted. Figure was created with BioRender.com.
    M F Pbpk Matlab Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/m-f pbpk matlab model/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    m-f pbpk matlab model - by Bioz Stars, 2026-06
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    First, the model was built in Simcyp V22 for the healthy non-pregnant population by optimizing and verifying the Δ 9 -THC elimination and distribution kinetics after intravenous administration. Then, Δ 9 -THC absorption kinetics and 11-OH-THC elimination and distribution kinetics were verified after inhalation and oral Δ 9 -THC consumption. The Δ 9 -THC kinetics in the non-pregnant model were also verified through drug-drug interaction and pharmacogenetic studies. Then, using our in-house m-f-PBPK model, built in MATLAB Simulink R2023a, which includes the placental and fetal compartments as well as gestational age-dependent physiological changes, the umbilical venous plasma (UVP) and fetal tissue concentrations were predicted. Figure was created with BioRender.com.

    Journal: Nature Communications

    Article Title: Quantification and prediction of human fetal (-)-Δ 9 -tetrahydrocannabinol/(±)-11-OH-Δ 9 -tetrahydrocannabinol exposure during pregnancy to inform fetal cannabis toxicity

    doi: 10.1038/s41467-025-55863-5

    Figure Lengend Snippet: First, the model was built in Simcyp V22 for the healthy non-pregnant population by optimizing and verifying the Δ 9 -THC elimination and distribution kinetics after intravenous administration. Then, Δ 9 -THC absorption kinetics and 11-OH-THC elimination and distribution kinetics were verified after inhalation and oral Δ 9 -THC consumption. The Δ 9 -THC kinetics in the non-pregnant model were also verified through drug-drug interaction and pharmacogenetic studies. Then, using our in-house m-f-PBPK model, built in MATLAB Simulink R2023a, which includes the placental and fetal compartments as well as gestational age-dependent physiological changes, the umbilical venous plasma (UVP) and fetal tissue concentrations were predicted. Figure was created with BioRender.com.

    Article Snippet: The code used for the MATLAB m-f-PBPK model has been deposited at 10.5281/zenodo.14027760 .

    Techniques: Clinical Proteomics