Understanding your data is critical, whether you’re designing clinical trials, researching new combination therapies, or submitting your drug to regulatory agencies for approval.
Make it easy for your team to understand and utilize your data.
Whether your in-house modelers need modern pharmacometrics analysis software, or you require expert clinical pharmacology and pharmacometrics modeling and strategy support, we’re ready to help.
Leverage the industry’s most modern and easy-to-use pharmacometrics software.
Our powerful suite of integrated applications can take your in-house experts through the entire modeling and simulation workflow—from data visualization and non-compartmental analysis to population modeling and simulations of new scenarios.
Your team can use integrated software tools with rigorous statistical methodologies and intuitive graphical interfaces.
It’s time to let your scientists focus less on programming and more on exploring models and simulation results.
Graphical and interactive software for non-compartmental, bioequivalence and compartmental analysis.
Easy, fast and powerful tool for non-linear mixed effects model development, including robust parameter estimation with the SAEM algorithm and built-in plots for model diagnosis.
A high-performance simulator of new scenarios, including clinical trials.
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Functionality
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Others
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Monolix
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Regulatory compliance and acceptability
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Reproducibility of results
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Validation suite
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Integrated and free |
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Dataset formatting and exploration
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Possible with 3rd party software |
Integrated |
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Easy-to-use interface
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Possible with 3rd party software |
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Built-in model libraries
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Example code for select models provided to adopt |
Extensive library includes ready-to-use PK and PKPD, TMDD, TTE, TGI and count data models |
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Model definition
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Requires coding in NMTRAN
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Structural model coded in Mlxtran and statistical model set up in graphical interface
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Automated covariate selection
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Possible with 3rd party software |
Multiple methods built-in which can be accessed through the GUI |
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SAEM optimization
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Requires mu-referencing
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Automatically |
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Presentation-quality diagnostic plots, automatically generated
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Requires post-processing as a separate step and the use of 3rd party software |
Integrated, out-of the box and customizable |
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Parallel computation
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Automatically within one machine |
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Scripting workflow in R
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Possible with 3rd party software |
Integrated with lixoftConnectors |
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Allows non-compartmental analysis
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Built-in integration with PKanalix |
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Allows simulations of new scenarios
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Requires creation of a shell dataset that can accommodate each scenario
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Built-in integration with Simulx |
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Support from software developer
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Provided by a knowledgeable and responsive team of experienced modelers |
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Online tutorials available
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Some resources available, scattered across the internet
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Available on the SLP website and MonolixSuite YouTube channel, covering many topics |
