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matlab code  (MathWorks Inc)


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    MathWorks Inc matlab code
    Matlab Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 173 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+pbpk+models/MATLAB+Coder/pm40326274-155-38-38
    Average 95 stars, based on 173 article reviews
    matlab code - by Bioz Stars, 2026-10
    95/100 stars

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    Related Articles

    other:

    Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators
    Article Snippet: The forward pass of the reference model is independently reimplemented in MATLAB scripts and in manually optimized HLS-based C + + code, while the HDL Coder workflow is used as a comparative baseline.

    Article Title: Method and system for measuring, predicting and optimizing human alertness
    Article Snippet: The algorithms for group-average and individualized predictions were written in MATLAB, translated to C with MATLAB Coder, and then compiled into a native library.

    Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
    Article Snippet: All artificial neural network (ANN) models were converted into fixed-point C code using MATLAB Coder and Embedded Coder toolchains.

    Article Title: Real-time Covid-19 diagnosis on embedded IoT platforms
    Article Snippet: The trained model was converted into an embedded-compatible format using MATLAB Coder and GPU Coder, generating CUDA-accelerated code optimized for the GPU resources available on the NVIDIA Jetson platform.

    Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators.
    Article Snippet: The forward pass of the reference model is independently reimplemented in MATLAB scripts and in manually optimized HLS-based C++ code, while the HDL Coder workflow is used as a comparative baseline.

    Software:

    Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators.
    Article Snippet: AMD’s Vitis Model Composer, integrated as a Simulink add-on, supports rapid prototyping of FPGA-oriented systems [12]. .. Similarly, MATLAB Coder and Hardware Description Language (HDL) Coder facilitate the conversion of algorithms developed in MATLAB into C/C++ or HDL representations, thereby bridging software-oriented models with hardware-oriented implementations [13]. ..

    Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators
    Article Snippet: AMD’s Vitis Model Composer, integrated as a Simulink add-on, supports rapid prototyping of FPGA-oriented systems . .. Similarly, MATLAB Coder and Hardware Description Language (HDL) Coder facilitate the conversion of algorithms developed in MATLAB into C/C + + or HDL representations, thereby bridging software-oriented models with hardware-oriented implementations . ..

    Blocking Assay:

    Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
    Article Snippet: .. Once trained, the ANN model is exported as a lightweight C-code block using MATLAB CoderTM for embedded deployment. ..



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    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.
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    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