Francoise M. Gomeni-Bressolle

R&D Department
La Fouillade, France

Last Updated: 09/26/2026

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Found 20 publications

Deep-Learning: An Emerging Tool to Support Model-Informed Drug Development.

Deep-Learning: An Emerging Tool to Support Model-Informed Drug Development.

Journal: Clinical and translational science

Published: March 11, 2026

Deep-Learning- versus Hypothesis-Driven Modeling in Model-Informed Drug Development: A PK/PD Case Study.

Deep-Learning- versus Hypothesis-Driven Modeling in Model-Informed Drug Development: A PK/PD Case Study.

Journal: Journal of clinical pharmacology

Published: January 04, 2026

AI-NLME: A New Artificial Intelligence-Driven Nonlinear Mixed Effect Modeling Approach for Analyzing Longitudinal Data in Randomized Placebo-Controlled Clinical Trials.

AI-NLME: A New Artificial Intelligence-Driven Nonlinear Mixed Effect Modeling Approach for Analyzing Longitudinal Data in Randomized Placebo-Controlled Clinical Trials.

Journal: Clinical and translational science

Published: May 09, 2025

Comparison of Different Machine Learning Methodologies for Predicting the Non-Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials.

Comparison of Different Machine Learning Methodologies for Predicting the Non-Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials.

Journal: Clinical and translational science

Published: September 24, 2024

Model-informed approach to estimate treatment effect in placebo-controlled clinical trials using an artificial intelligence-based propensity weighting methodology to account for non-specific responses to treatment.

Model-informed approach to estimate treatment effect in placebo-controlled clinical trials using an artificial intelligence-based propensity weighting methodology to account for non-specific responses to treatment.

Journal: Journal of pharmacokinetics and pharmacodynamics

Published: July 31, 2024

Interpreting clinical trial outcomes complicated by placebo response with an assessment of false-negative and true-negative clinical trials in depression using propensity-weighting.

Interpreting clinical trial outcomes complicated by placebo response with an assessment of false-negative and true-negative clinical trials in depression using propensity-weighting.

Journal: Translational psychiatry

Published: August 30, 2023

A new method for analyzing clinical trials in depression based on individual propensity to respond to placebo estimated using artificial intelligence.

A new method for analyzing clinical trials in depression based on individual propensity to respond to placebo estimated using artificial intelligence.

Journal: Psychiatry research

Published: June 18, 2023

Artificial intelligence approach for the analysis of placebo-controlled clinical trials in major depressive disorders accounting for individual propensity to respond to placebo.

Artificial intelligence approach for the analysis of placebo-controlled clinical trials in major depressive disorders accounting for individual propensity to respond to placebo.

Journal: Translational psychiatry

Published: January 29, 2023

Convolution-based approach for modeling the paliperidone extended release and Long-Acting Injectable (LAI) PK of once-, and three-monthly products administration and for optimizing the development of new LAI products.

Convolution-based approach for modeling the paliperidone extended release and Long-Acting Injectable (LAI) PK of once-, and three-monthly products administration and for optimizing the development of new LAI products.

Journal: Journal of pharmacokinetics and pharmacodynamics

Published: September 08, 2022

Modeling Complex Pharmacokinetics of Long-Acting Injectable Products Using Convolution-Based Models With Nonparametric Input Functions.

Modeling Complex Pharmacokinetics of Long-Acting Injectable Products Using Convolution-Based Models With Nonparametric Input Functions.

Journal: Journal of clinical pharmacology

Published: January 13, 2021

Model based approach for estimating the dosage regimen of indomethacin a potential antiviral treatment of patients infected with SARS CoV-2.

Model based approach for estimating the dosage regimen of indomethacin a potential antiviral treatment of patients infected with SARS CoV-2.

Journal: Journal of pharmacokinetics and pharmacodynamics

Published: April 27, 2020

Comparison of Alternative Population Modeling Approaches for Implementing a Level A IVIVC and for Assessing the Time-Scaling Factor Using Deconvolution and Convolution-Based Methods.

Comparison of Alternative Population Modeling Approaches for Implementing a Level A IVIVC and for Assessing the Time-Scaling Factor Using Deconvolution and Convolution-Based Methods.

Journal: The AAPS journal

Published: February 05, 2020

Showing 1-12 of 20

Last Updated: 09/26/2026