Simulx is an easy, efficient, and flexible
application for clinical trial simulations

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Simulx is an advanced clinical trial simulation software to build and simulate user-designed scenarios. It combines a user-friendly interface with the highest computational capabilities to quickly answer your questions and find optimal solutions

Why Simulx?

  • To gain new insights from interactive exploration of effects of dosing regimens and model parameters with real-time predictions
  • To anticipate clinical trials results via fast simulations of populations of individuals
  • To save time by working in a simple and efficient environment interconnected with Monolix.
  • To focus on modeling and simulation instead of implementation details thanks to easy and flexible simulation setup and integrated post-processing tools.

Very easy to use with its GUI

Designed for ease of use, which means less programming and more exploring and simulations. One simple workflow to analyze in real time the effect of different treatments and model parameters on a typical individual and to simulate a population of individuals in different groups.

Amazing flexibility

Intuitive interface with an amazing flexibility to describe any scenario. In a few clicks, integrated plugins define any population, model parameters and covariates, any treatment, and any design. Simulations of clinical trials have never been so simple.

Advanced Statistical Methodologies

Built-in tools perform post-processing of simulation outputs into outcomes and endpoints. Together with statistical tests and uncertainty analysis, they provide powerful qualitative and quantitative comparison between simulation groups.

Increased productivity and quality

Working independently and integrated with Monolix – build a simulation from scratch or import a Monolix project as a starting point. Efficient C++ solver package, standardized model language, and automatic display of results in interactive tables and plots all contribute to better productivity and quality.

What are we providing with Simulx?

Optimal environment to build and analyze simulation scenarios

  • Definition – create easily new exploration and simulation elements (parameters, treatments, outputs, covariates, etc.) of different types using built-in methods or external tables
  • Exploration – analyze in real time different treatments and effects of model parameters by simulating a typical individual; create several exploration groups, overlay experimental data and send a scenario in a single click to a clinical trial simulation
  • Simulation – simulate clinical trials using a population of individuals in one or several groups with specific treatment, individual characteristics or measurement times; use flexible post-processing tools, and get immediate feedback in intuitive exportable tables and interactive plots.

Outputs and plots

All simulation outputs are displayed in sortable and formatted tables easy to copy in any document and are exported in the result folder in an R-compatible format. Interactive plots are also automatically generated for straightforward interpretation of the results.

R API to automate your process

All steps performed in Simulx can be run from R with the LixoftConnectors package. What you have done once intuitively in the interface in a specific scenario can be generalized to a script automating the process for any other simulation or design optimization.

Comprehensive documentation and examples

Great care has been taken to provide a comprehensive Simulx documentation that includes methodology, software manuals and tutorials.
A wide collection of examples that include models and data can be used as templates to start your own project.

A lot of online material (feature of the weeks videos, webinars, case studies, …) on our Lixoft University page.

How is Simulx being applied?

Simulx has been widely used by pharmaceutical companies and academics to:

  • Make more informed decisions with reliable and extended analysis of possible scenarios.
  • Compare different dosing regimens and find the most promising ones in terms of safety and efficiency.
  • Assess the uncertainty in a clinical trial, calculate the expected power of a study, and select the most successful design.
  • Use results of one phase of a clinical trial to optimize treatment, sample size and duration of the next phase.

Check our Video Tutorials
 

What's new in Simulx 2021?
  • Uncertainty of population parameters captured in the variance-covariance matrix of the estimates that has been calculated in Monolix during the “standard errors” task. It allows to propagate the uncertainty of the estimated population parameters to the predictions.
  • More flexibility in the exploration plots: possibility to overlay experimental data on top of model predictions, to set the axis limits and log scale on each subplot independently, and new sliders to change parameters values – all contribute to better user experience and more efficient analysis.
  • Export of simulated data as MonolixSuite formatted dataset in one click to easily perform a complete modeling workflow in PKanalix or Monolix.
  • Integrated model editor with built in libraries, syntax check, auto competition and zoom – writing and editing models have never been so easy.
  • and many more!

Check a short overview of new Simulx 2021 features or watch how the MonolixSuite 2021 works in practice on a parent-metabolite case study.

How do I move forward from here?

Request for a demo with Simulx to support internal research projects and regulatory interactions.

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