How simbiology is used?
Best insight from top research papers
SimBiology, a tool within MATLAB®, is utilized for various purposes in different fields. It is commonly employed for pharmacokinetic, pharmacodynamic modeling, and dynamic systems analysis. SimBiology enables the implementation of mathematical models in cancer research, considering factors like continuous drug treatment and interference competition. Moreover, SimBiology has been instrumental in enhancing experimental teaching in biology by integrating computer virtual simulation technology, improving students' practical skills and problem-solving abilities. Additionally, SimBiotic Software has developed interactive simulations for teaching biology, allowing students to experiment with realistic biological scenarios to grasp fundamental concepts. Furthermore, a user-friendly GUI application called gPKPDSim has been created to facilitate PKPD analyses, parameter estimation, and non-compartmental PK analysis, making SimBiology models more accessible to scientists across disciplines.
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| Papers (5) | Insight |
|---|---|
| SimBiology is utilized in drug development for PKPD modeling through a user-friendly GUI application called gPKPDSim, enabling various analyses like simulation, data fitting, and population simulation. | |
Open access•Journal Article | SimBiotic software is used for interactive biology simulations, allowing students to conduct experiments in realistic scenarios to discover key biological principles and concepts. |
16 Dec 2022 | Computer virtual simulation technology is applied in general biology experiment teaching to enhance students' interest, hands-on skills, problem-solving abilities, and overall development, improving the efficiency and quality of experimental teaching. |
01 Sep 2019 | SimBiology is utilized for non-compartmental analysis by estimating parameters with unweighted linear regression for the terminal slope and linear interpolation, enhancing NCA in clinical pharmacology. |
| SimBiology is used in the paper to simulate cancer treatment by implementing mathematical models, including continuous drug concentration and discrete dosing, to study the dynamics of cancer treatment. |
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