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Related Concept Videos

Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

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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The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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Mechanistic Models: Overview of Compartment Models01:21

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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...
Pharmacokinetic Models: Overview01:20

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
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A comprehensive dairy valorization model.

A Banaszewska1, F Cruijssen, J G A J van der Vorst

  • 1Logistics, Decision and Information Sciences, Wageningen University and Research Centre, Hollandseweg 1, 6706 KN Wageningen, the Netherlands. agata.banaszewska@wur.nl

Journal of Dairy Science
|December 4, 2012
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Summary
This summary is machine-generated.

This study introduces a dairy valorization model to optimize raw milk allocation for dairy processors. The model accounts for various constraints, demonstrating seasonality

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Area of Science:

  • Operations Research
  • Supply Chain Management
  • Food Science

Background:

  • Dairy processors operate within volatile markets and complex supply chains.
  • Standard solutions are insufficient for maintaining market competitiveness.

Purpose of the Study:

  • To present a comprehensive dairy valorization model for mid-term raw milk allocation and production planning.
  • To serve as a decision support tool for optimizing product portfolio composition.

Main Methods:

  • Development of a mathematical model for raw milk allocation.
  • Inclusion of constraints: recipes, composition, interdependencies, seasonality, demand, supply, capacities, and transportation.
  • Testing and validation with an international dairy processor (FrieslandCampina).

Main Results:

  • The model identifies optimal product portfolio composition for maximizing profitability.
  • Analysis revealed seasonality significantly impacts milk valorization and allocation strategies.
  • The model effectively integrates complex dairy production dynamics and constraints.

Conclusions:

  • The developed dairy valorization model is a comprehensive decision support tool for the dairy industry.
  • Optimal raw milk allocation requires consideration of all relevant production and market constraints, especially seasonality.
  • The model provides actionable insights for enhancing dairy processor profitability and competitiveness.