Lixoft Monolix Suite 2024 R1 crack license download
Lixoft monolix Suite 2024R1
Lixoft develops modeling and simulation software for advanced model-based drug development. Its products provide powerful and easy solutions for population analysis in preclinical, clinical trials and treatment personalization. Lixoft’s technology is the result of a decade of statistical and modeling research projects, led by Inria, for advanced population analysis, nonlinear mixed effects models in pharmacology, preclinical and clinical trial modeling and simulation. Monolix is the most advanced and simple solution for nonlinear mixed effects modeling (NLME) in pharmacology. It is based on the SAEM algorithm and provides strong global convergence even for complex PK/PD models. Monolix is used for preclinical and clinical population PK/PD modeling and systems pharmacology. Lixoft Monolix Suite generates Visual Predictive Check instantly, generating complete diagnostic charts for your complex PK/PD models. It covers a wide range of data types as well as statistical features for population PK/PD modeling. New Features
1. Global Interoperability
* Extended interoperability to export PKanalix, Monolix or Simulx runs to any other application of MonolixSuite.
In addition to the existing export/import, it is now possible to:
– Export a PKanalix CA run to Simulx to predict the response of these same individuals to another dosing regimen.
– Export a Simulx run or a Monolix individual fit or VPC simulation to PKanalix to run an NCA on the simulated data.
2. Global Display
* Report module for automatic report generation based on custom Word template files:
– Placeholders can be written to any Word template file, and when the report is generated, they will be replaced by plots and tables from the PKanalix or Monolix run
– Placeholders can be easily generated for each plot and table in the GUI and then copied into the Word template
– Placeholders for plots and tables can be customized to display what you want in the report
* Custom axis limits can be set for observed data and VPC plots.
* In the “Observed Data” plot, trend lines (mean and standard error) for different groups can be merged on the same plot after splitting by covariates.
* Software feedback can now be sent directly from the interface of any application of MonolixSuite.
3. Datasets
* Data formatting module in the interface to make input format more flexible.
From input datasets (not yet in MonolixSuite format), it is now possible to:
– Merge multiple observation types
– Add censoring information based on BLQ labels
– Add treatment information from an external file, or manually specify multiple possibilities (multiple dose regimens, repeated cycles, infusions, combination therapies, dose depends on class, use dose intervals, etc.)
– Add covariate columns and regression columns from another file
4. PKanalix
* [Units] Quantity columns, other standardized units per body weight or body surface area.
* [CA Tasks] Any model in CA can be used, written by yourself using mlxtran syntax or from MonolixSuite libraries.
* [CA Tasks] Improved algorithms in CA to escape better local minima and improve fit (important for models more complex than standard pk).
* [CA Tasks] New cost function based on generalized least squares, with the ability to compare models with AIC and BIC.
*[CA Task] New weighting option 1/|Ypred*Yobs|.
*[CA Results] Individual costs are reported in the individual parameter tables, and a new Costs tab shows values for global costs, -2LL, AIC, and BIC.
*[CA Plots] For CA, new observed vs. predicted plots are available to diagnose fit.
*[Results] Additional summary measures Geometric CV and Harmonic Mean.
*[Preferences] Custom aliases for NCA parameter names and summary measure names, which appear in tables, plots, and reports.
5. Monolix
*[Results] Coefficient of variation is now reported in addition to standard deviation for random effects in the population parameter table.
*[Data] Sequential methods are now easier, as PK parameters from another run can be added to a dataset as a regression function directly in the interface (via the Data Formatting module).
6. Simulx
*[Results] In tables and plots, map simulation IDs of individuals to original identifiers from a Monolix run or user-defined external elements.
*[Plots] Distributions of simulation output from different groups can now be merged on the same plot.
*[Definition] Import new elements created after Monolix run to simulate the effect of covariation or parameter uncertainty on a typical individual (omegas set to zero).
*[Results] More post-processing possibilities for calculation results, such as
– duration below, above or between specific values,
– output values for custom times,
– normalization relative to min/max values (in addition to baseline values)
– define results for reporting time as continuous or event type
*[Definition] Convert single elements to population elements and vice versa with one click.
*[Plot] Visual cues automatically switch to OFF after setting them.
7. Lixoft Connector/Command Line
* New Monolix connector for drawing from R.
* New Simulx connector for defining and calculating results and endpoints in the interface.
* New connector covers new functions available in the interface (formatData, generateReport, getCACost).
* New function reportGenerator to generate reports directly from the command line.
* New connector for selecting library models using the same filters as in the GUI.
* Improved error and warning messages when parameters are not recognized.
* Extensive documentation for the Simulx connector, including detailed descriptions of each function and working examples.
* setConsoleMode (show calculation progress in the GUI) now also works for Simulx and PKanalix.
8. Updates:
* ODE solver CVODE upgraded to version 5.5.
9. Fixed bugs:
===== Global interoperability
* [export] Fixed slow file export when exporting on a shared drive.
===== Global display
* [observed data] When removing points and lines, dosing times set to always visible disappear.
* [observed data] Axis limits are based on points, even if the points are not displayed on the plot.
* [plots] For all plots, the “random colors” option does not work (nothing happens when you click it).
* [observed data] When a plot is split and paged, the legend is not updated correctly when going from one
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