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Molecular Models02:00

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Multicompartment Models: Overview01:14

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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.
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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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Multicompartmental models are crucial tools in pharmacokinetics, providing a framework to understand how drugs move within the body. The two-compartment model is a crucial subtype, segmenting the body into central and peripheral compartments. The central compartment represents areas with high blood flow, such as plasma and highly perfused organs like the kidneys and liver, while the peripheral compartment signifies tissues with lower blood flow, like adipose tissue and muscle tissue.
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

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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...
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Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs
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WeBCMD: A cross-platform interface for the BCMD modelling framework.

Joshua Russell-Buckland1, Matthew Caldwell1, Ilias Tachtsidis1

  • 1Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.

Wellcome Open Research
|September 28, 2017
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Summary

WeBCMD simplifies complex brain monitoring data analysis. This web-based tool makes advanced physiological modeling accessible for studying brain dynamics using near-infrared spectroscopy.

Keywords:
NIRScloud platformmathematical modellingweb technology

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computational Biology

Background:

  • Multimodal brain monitoring generates extensive data for understanding cerebral dynamics.
  • Near-infrared spectroscopy (NIRS) measures key physiological variables like haemoglobin oxygenation and cytochrome-c-oxidase redox state.
  • Mathematical models are crucial for interpreting complex multimodal brain data.

Purpose of the Study:

  • To present WeBCMD, an accessible online environment for brain monitoring data analysis.
  • To simplify the installation and execution of the Brain Cybernetics Modeling (BCM) software framework.
  • To leverage web technologies for a cross-platform and cloud-accessible solution.

Main Methods:

  • Development of an online environment (WeBCMD) using modern web technologies.
  • Packaging WeBCMD as a Docker image for easy deployment.
  • Providing WeBCMD as a cloud-accessible online service.

Main Results:

  • WeBCMD offers a simplified and more accessible approach to running complex brain monitoring models.
  • The platform is extensible and cross-platform, enabling remote access via the cloud.
  • Availability as a Docker image and an online service facilitates broader adoption.

Conclusions:

  • WeBCMD significantly enhances the accessibility of advanced brain monitoring data analysis.
  • The online environment democratizes the use of sophisticated physiological modeling tools.
  • WeBCMD is poised to advance research in healthy and injured brain dynamics.