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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
355
Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

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Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's...
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
340
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

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Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

540
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

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Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...
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Related Experiment Video

Updated: Apr 11, 2026

Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication
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A Computational Model Quantifies the Effect of Anatomical Variability on Velopharyngeal Function.

Joshua M Inouye, Jamie L Perry, Kant Y Lin

    Journal of Speech, Language, and Hearing Research : JSLHR
    |June 7, 2015
    PubMed
    Summary

    This study modeled velopharyngeal (VP) anatomy to predict speech function. Decreasing VP distance and increasing velar length/LVP area can improve VP dysfunction treatment.

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    Area of Science:

    • Biomechanics of speech production
    • Computational modeling in speech science

    Background:

    • Velopharyngeal (VP) dysfunction affects speech clarity.
    • Understanding the relationship between VP anatomy and function is crucial for treatment.

    Purpose of the Study:

    • To predict the impact of velopharyngeal anatomical parameters on velopharyngeal function.
    • To enhance understanding of speech mechanics.
    • To aid in the treatment of speech disorders.

    Main Methods:

    • A computational model of the VP mechanism was developed using MRI data from 10 healthy adults.
    • Model components included the levator veli palatini (LVP), velum, and posterior pharyngeal wall.
    • Simulations assessed VP closure force and LVP muscle activation, using material parameters from existing literature.

    Main Results:

    • The computational model showed good agreement with experimental data.
    • Simulations of 1,000 varied anatomies demonstrated significant variability in closure forces.
    • Velopharyngeal (VP) distance was the most influential anatomical parameter on closure force and LVP activation.

    Conclusions:

    • Interventions reducing anterior-posterior VP portal distance, increasing velar length, or increasing LVP cross-sectional area may effectively treat VP dysfunction.
    • Further computational modeling can refine understanding of speech mechanics and optimize therapeutic strategies.