Research project

Our methodological research involves the development of statistical methods in modelling, which we mostly apply to studying the variability in the response to anti-infective agents and oral anticoagulant drugs in patients. We will continue to propose statistical methods in the general framework of nonlinear mixed-effect models. These models are widely used for the analysis of longitudinal data collected during clinical trials, such as drug concentrations, measures of biomarkers and effects.
Our work will include: the development of exact estimation methods (SAEM and nonparametric); protocol optimisation; model evaluation; model selection and covariate testing, with a special focus on genetic covariates; development of tools for individual prescription and therapeutic monitoring.
Our work focuses not only on proposing original methods, but aims at making them available through collaborations and software designed for the scientific community and the pharmaceutical industry.
We will continue our research in anti-infective agents. Some of our projects are: the study of the role of compliance and pharmacogenetics in the variability of the pharmacokinetics and response to antiviral drugs in HIV infected patients; the modelling of relationships between antibiotic concentrations and the emergence of resistance. Other projects include: the study the variability of the response to anticoagulant drugs, namely the role of concomitant medications and concurrent pathologies in elderly people, the evolution of biomarkers during treatment for patients suffering from Gaucher disease, and the biosimilarity of antibodies. Our long-term objective is to offer individualised dosing strategies for these treatments.