Journal: Journal of Pharmacokinetics and Pharmacodynamics

Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

doi: 10.1007/s10928-017-9562-9

Figure Lengend Snippet: A schematic workflow of how modelers and end-users employ gPKPDSim. The expert modeler develops the model in SimBiology ® and encapsulates it into a “Session” file, which can be launched in gPKPDSim by end-users. The Session file, once loaded in gPKPDSim, enables the end-user to perform different functionalities, including simulation, data fitting (parameter estimation), population simulation, and NCA. For some of these functionalities, the user must provide a dataset. All the functionalities are supported by features such as interactive visualization, and export of results as presentation-ready figures and Excel datasets. When the user completed their tasks, the session file can be saved for future use. Note that the end-user works exclusively in the environment of gPKPDSim

Article Snippet: Note that gPKPDSim provides PKPD M&S capabilities to users in an organization with access to SimBiology ® /MATLAB ® at no additional cost; however, each organization has to make an informed investment based on their needs in software tools such as SimBiology ® /MATLAB ® and others that have costs associated with them.

Techniques:

Journal: Journal of Pharmacokinetics and Pharmacodynamics

Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

doi: 10.1007/s10928-017-9562-9

Figure Lengend Snippet: Description of the components within the gPKPDSim framework

Article Snippet: Note that gPKPDSim provides PKPD M&S capabilities to users in an organization with access to SimBiology ® /MATLAB ® at no additional cost; however, each organization has to make an informed investment based on their needs in software tools such as SimBiology ® /MATLAB ® and others that have costs associated with them.

Techniques: Generated

Journal: Journal of Pharmacokinetics and Pharmacodynamics

Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

doi: 10.1007/s10928-017-9562-9

Figure Lengend Snippet: gPKPDSim: simulation functionality view. This view has multiple sections: 1 ) general settings (top left); 2 ) functionality-specific settings including simulation time and parameter values (bottom left); 3 ) plot settings including species from the SimBiology ® model and dataset groups and column headers (top right); 4 ) non-compartmental analysis (NCA, bottom right); 5 ) profile notes including a list of most recent simulations and their detailed summary (bottom middle); and 6 ) interactive plots (top middle). See “ ” for detailed description of each section

Article Snippet: Note that gPKPDSim provides PKPD M&S capabilities to users in an organization with access to SimBiology ® /MATLAB ® at no additional cost; however, each organization has to make an informed investment based on their needs in software tools such as SimBiology ® /MATLAB ® and others that have costs associated with them.

Techniques:

Journal: Journal of Pharmacokinetics and Pharmacodynamics

Article Title: gPKPDSim: a SimBiology ® -based GUI application for PKPD modeling in drug development

doi: 10.1007/s10928-017-9562-9

Figure Lengend Snippet: A summary of different settings in gPKPDSim

Article Snippet: Note that gPKPDSim provides PKPD M&S capabilities to users in an organization with access to SimBiology ® /MATLAB ® at no additional cost; however, each organization has to make an informed investment based on their needs in software tools such as SimBiology ® /MATLAB ® and others that have costs associated with them.

Techniques: Selection, Variant Assay

Journal: Biological Research for Nursing

Article Title: The State of Data Science in Genomic Nursing

doi: 10.1177/1099800420915991

Figure Lengend Snippet: Comparison of Major Data Science and Machine-Learning Languages.

Article Snippet: Matlab ( MathWorks Inc., 2019 ) , MATLAB , SimBiology Deep Learning Tool Box , Versatile, rich library of machine learning, and engineering libraries , Cost of license, difficulties in converting code, difficult deployment of code into an application , www.mathworks.com.

Techniques: Comparison, Software

Journal: Saudi Pharmaceutical Journal : SPJ

Article Title: Model-informed drug discovery and development approaches to inform clinical trial design and regulatory decisions: A primer for the MENA region

doi: 10.1016/j.jsps.2024.102207

Figure Lengend Snippet: Some educational resources for MID3.

Article Snippet: Other noteworthy tools include MATLAB with its SimBiology toolbox, which allows for a more programming-oriented approach for modeling and simulation( , , , ).

Techniques: Drug discovery, Software