📘 Introduction

In the fast responsive world of the pharmaceutical research and development sectors, a skilled analyst is held dear because this person must be able vast datasets. Monolix 2021 R2 continues Lixoft’s tradition of Monolix Suite, which gave us the Monolix, a useful suite for scientists involved in the NLMM (Nonlinear Mixed Effects Modeling) class, a crucial methodology that enables one to comprehend the various observed variations in drug responses across human populations.

What’s more, the release of Lixoft Monolix Suite 2021 R2 marks an important milestone with access added to schemes to support complicated tasks from data to decision-making intelligence.

📊 Overview

The Monolix Suite, a sophisticated combo of the finest software tools for experts and modelers, is a development. This allows the streamlining of the methodological phenomena in NLME modeling, a process that is a crucial link for model development alongside in-vitro studies into clinical trials.

The suite is built on a principle of equipping the practitioners with sound algorithmic abilities combined with a user-friendly and graphic interface, so they can easily understand and control the models, and yet another important requirement is the ability to learn from their work while developing the models.

📝 Description

At the core, the Monolix Suite is constructed around two main applications, namely: Monolix and Simulx.

Monolix is the fundamental element in building and evaluating the model. With its cutting-edge SAEM (Stochastic Approximation Expectation Maximization) algorithms, it provides rapid and accurate estimation of key population parameters, IIV (inter-individual variability), and residual errors.

Simulx is only a virtual simulation environment for now. Once the model is prepared and validated, Monolix will assist you in simulating virtual patients and their experiments. The key is the ability to predict the probable outcomes and to be in a position to support our critical-whenever-go or no-go disposition.

✨ Key Features

The 2021 R2 version incorporates an array of new features that not only increase the speed of operation but also improve the ability to analyze data.

Improved Covariate Model Building: A new way with a stepwise covariate searcher was introduced which automatically and effectively finds the interrelationship between patient characteristics (covariates) and model parameters.

Advanced Visualization and Diagnostics: The visualization improvements include a new graphic–the Visual Predictive Check (VPC) becomes part of the stitch design for models, mainly focused on time-to-event.

Performance and Usability Speedup: Improving the internals, which were hitherto time-consuming, resulted in faster execution of the required actions.

More holistic simulation scenarios for Simulx: Via reassertion of the Simulx potency, unforeseeable new decentralized of the complicated and real scenarios of the simulations are possible, which is an appropriate and often inevitable measure to be taken in the clinical.

🛠️ How To Install

Installing the suite is a very easy matter. All you need to do is follow the steps:

Find the Installer: Lixoft’s website is no longer active, but the software has been taken over by the Servier group. Therefore, go to the new website of the Servier group, and then navigate to the section where you can download the installer.

Direct Installer Launch: Look for the downloaded installation file (e.g., manliest-2021R2-windows-installer.exe) on your computer and run it as an administrator.

Preparing the Tool: The installation wizard will give you detailed instructions on the next steps you have to do, and the typical task here is to click “Next” as all the information and data entered is sorted as installation directory requirements.

Authenticate the License: When you start Monolix Suite for the first time, you will be prompted to activate your license. This usually involves obtaining the licensing file that was delivered to you by Lixoft/Servier.

💻 System Requirements

The right system prerequisites are vital to the overall demeanor of an application; hence, the following are specified as what can be done to attain the desired results:

Operating System: Windows 10 or any version later (64-bit) or a primary Linux distribution (64-bit).

Processor: Requirements are multi-core processors (Intel Core i5/i7 or similar processors to AMD).

RAM: A minimum of 8 GB is appropriate; nevertheless, the use of a computer with 16 GB or above as RAM enables the system to accommodate large or complex datasets and models.

Storage Devices: At least 2 gigabytes (GB) amount free for the application itself and its related files.

Others: For licensing activation and updates, it is good to have an internet connection. A micro’d card slot/ port is instrumental when referring to the graphics card.

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