The Monolix Project

Members of the Monolix Software Project:

Johnson & Johnson roche Sanofi-Aventis exprimoNovartis AstraZeneca

 


MONOLIX Project Membership

The MONOLIX Software is developped and the Project managed by the MONOLIX Development Team at INRIA is responsible for the software development and the project management.

The MONOLIX Project is carried out by INRIA, and sponsored by the Industry.

The MONOLIX Scientific Guidance Committee involves representatives of the sponsors.

Membership includes the access to an exclusive MONOLIX Information Platform, maintained and updated by the MONOLIX Team.

To become a member of the MONOLIX Project, contact the MONOLIX team


The MONOLIX project
consists primarily in developping the next versions of the MONOLIX software with a view to raising its level of functionnalities and responding to major requirements of the bio-pharmaceutical industry.

The MONOLIX project is a 3-year software development project by a 5 engineers Monolix team.

The technical objectives of the project include:

1. Software engineering

  • multi-platform setup (Windows, Linux and Mac OS X)
  • high-performance computing (exploitation of the multi-core computing,...)

2. Development of new functionalities

  • Binary, categorical and count data models,
  • Mixture models,
  • Non parametric estimation,
  • Time to event (survival) data,
  • Models with errors on Time, Doses, Covariates …

3. Improving the C++ module

  • Improvement of MLXTRAN for user defined models
  • Improvement and development of new ODEs solvers
  • Incorporation of a mechanism for using XML format

4. Documentation, tutorials and tests

  • Examples in the form of interactive tutorials and demos of the new functionalities,
  • Benchmark problems suitable for the testing of the algorithms implementation,

 
MONOLIX 2.X was developed with the financial support of Johnson & Johnson Pharmaceutical Research & Development, a Division of Janssen Pharmaceutica N.V. This collaboration was initiated thanks to Vladimir Piotrovskij and his interest for Monolix and the SAEM algorithm.