What is Simulx

Simulations in a user-friendly and fast environment
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.

Key Features

Optimal environment to build and analyse 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 original individuals or virtual patients in one or several groups with specific treatment, individual characteristic or measurements times; use a previously developed population model in Monolix or write a new one.

Outcomes & endpoints: Analyse efficacy and safety targets with built-in tools for post-processing of simulations outputs and compare results in different groups using statistical tests.

R-API to automate workflows: Build and run scenario directly from R using the lixoftConnectors package. What you have done once intuitively in the interface, can be generalized to a script automating the process for any other scenario.

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.

Why Simulx?
To gain new insights using an interactive exploration of effects of dosing regimens and model parameters with real-time predictions.

To anticipate clinical trials by simulating new scenarios using your estimated model and analysing results with dedicated plots.

To justify dose and dosing regimens using built-in post-processing into outcomes & endpoints and statistical tools for comparison between groups.

To focus on analysis and answering precise questions instead of implementation details thanks to a modern and intuitive graphical interface with easy simulation setup.

To save time by working in a simple and efficient environment interconnected with Monolix and PKanalix.