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Related Concept Videos

Steps in the Modeling Process01:14

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
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Participant Modeling
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Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
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Clearance Models: Compartment Models

Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume of...

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Related Experiment Video

Updated: May 22, 2026

Computer-Generated Animal Model Stimuli
26:43

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

Modeling life.

Michael L Shuler1

  • 1Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA. mls50@cornell.edu

Annals of Biomedical Engineering
|April 25, 2012
PubMed
Summary
This summary is machine-generated.

Researchers are building models of life, including a minimal cell and a Body-on-a-Chip system. These models advance our understanding of biology and synthetic biology for societal benefit.

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Area of Science:

  • Systems biology
  • Synthetic biology
  • Biotechnology

Background:

  • Understanding life requires robust models.
  • Current models are limited in scope and application.

Purpose of the Study:

  • To construct physical and mathematical models of life.
  • To investigate essential features of living cells and advance synthetic biology.
  • To develop novel platforms for drug discovery and development.

Main Methods:

  • Genomic and chemical modeling of a minimal cell.
  • Microfluidic "Body-on-a-Chip" systems with organ-specific cell constructs.
  • Physiologically based pharmacokinetic modeling.

Main Results:

  • Established a hypothetical minimal cell model for studying life's essentials.
  • Developed a Body-on-a-Chip platform for drug discovery.
  • Demonstrated the utility of both computational and physical models.

Conclusions:

  • Physical and mathematical models offer critical insights into biological systems.
  • These models provide new tools for societal benefit.
  • Minimal cell and Body-on-a-Chip models are key to advancing synthetic biology and drug development.