News & Events

MonolixSuite 2020 advent calendar

on 28 November 2019

Discover one cool new MonolixSuite feature each day!

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Auto-init available for any model, even custom! Find good initial values in one click even for complex dynamics!

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New bioequivalence module in PKanalix! Discover a new task with intuitive settings, results and plots. 

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Monolix library has new 7000 parent – metabolite models

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New outcomes are available in Simulx! Post-process your outputs to get the first/last measurement per individual, or per individual and occasion.

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All settings for model building and convergence assessment are now saved and reloaded with your project.

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New integrated editor to quickly change your structural model and check syntax directly in the interface! Also available in Simulx!

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Is your model able to predict a new situation? Overlay a new dataset on your predictions in the exploration tab!

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Fix the correlations in one click directly in the GUI.

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Propagate the parameter uncertainty computed in Monolix to your predictions with a ready-to-use element.

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Stratify summary tables in PKanalix as you would do it for plots! Compare NCA statistics for different groups, or for a selected population.

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Set all SAEM iterations to zero in one click! Useful to re-run all tasks without re-estimating the population parameters.

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Should you include a correlation at ID or at OCC level? Ask the proposal! It can now suggest correlations also at the occasion level.

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Updates to lixoftConnectors: get plots as ggplot objects

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Re-order subplots with the new features in the stratification panel

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Need to further analyse your simulations with NCA? You can now export your simulations as a formatted dataset, ready to use in PKanalix or Monolix.

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New plot in PKanalix showing the NCA individual fits! Use it to show the lambda_z regressions or raw data per individual.

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VPC plot can be re-calculated for times after the last dose

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Export VPC simulations is a new option in the Preferences

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NaN in simulations of survival models are no longer a problem for the VPC

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Dataset fingerprint: unique identification to secure the validity of results.

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Check the covariate statistics directly in the data tab.

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Prior now available also for the standard deviation of random effects.

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SAMBA: a NEW covariate model building strategy, even faster than COSSAC, with much fewer runs and similar results!

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New options for mean and error bars bring more modeling insights

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Sycomore algorithms upgraded: now loading projects is faster

Jonathan CHAUVINMonolixSuite 2020 advent calendar