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Journal of Clinical Pharmacology
|
March 6, 2026
Deep-Learning- versus Hypothesis-Driven Modeling in Model-Informed Drug Development: A PK/PD Case Study
Roberto Gomeni, Françoise Bressolle-Gomeni
The AAPS Journal
|
April 17, 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
Roberto Gomeni, Françoise Bressolle-Gomeni
Journal of Pharmacokinetics and Pharmacodynamics
|
December 9, 2022
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
Roberto Gomeni, Françoise Bressolle-Gomeni
Clinical and Translational Science
|
January 14, 2025
Comparison of Different Machine Learning Methodologies for Predicting the Non-Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials
Roberto Gomeni, Françoise Bressolle-Gomeni
Clinical and Translational Science
|
September 3, 2025
AI-NLME: A New Artificial Intelligence-Driven Nonlinear Mixed Effect Modeling Approach for Analyzing Longitudinal Data in Randomized Placebo-Controlled Clinical Trials
Roberto Gomeni, Françoise Bressolle-Gomeni
Journal of Clinical Pharmacology
|
February 19, 2021
Modeling Complex Pharmacokinetics of Long-Acting Injectable Products Using Convolution-Based Models With Nonparametric Input Functions
Roberto Gomeni, Françoise Bressolle-Gomeni
The AAPS Journal
|
December 11, 2019
Deconvolution Analysis by Non-linear Regression Using a Convolution-Based Model: Comparison of Nonparametric and Parametric Approaches
Roberto Gomeni, Françoise Bressolle-Gomeni
Journal of Clinical Pharmacology
|
January 27, 2018
Is It Time for Going Beyond the P-Value Paradigm With the Estimation of the Probability of Clinical Benefit as a Criterion for Assessing the Outcomes of a Clinical Trial? A Case Study in Patients With Major Depressive Disorder
Roberto Gomeni, Françoise Bressolle-Gomeni, Maurizio Fava
Journal of Clinical Pharmacology
|
February 23, 2016
Response Surface Analysis and Nonlinear Optimization Algorithm for Maximization of Clinical Drug Performance: Application to Extended-Release and Long-Acting Injectable Paliperidone
Roberto Gomeni, Françoise Bressolle-Gomeni, Maurizio Fava
Translational Psychiatry
|
April 29, 2023
Artificial intelligence approach for the analysis of placebo-controlled clinical trials in major depressive disorders accounting for individual propensity to respond to placebo
Roberto Gomeni, Françoise Bressolle-Gomeni, Maurizio Fava
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Journal of Clinical Pharmacology
|
March 6, 2026
Deep-Learning- versus Hypothesis-Driven Modeling in Model-Informed Drug Development: A PK/PD Case Study
Roberto Gomeni, Françoise Bressolle-Gomeni
The AAPS Journal
|
April 17, 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
Roberto Gomeni, Françoise Bressolle-Gomeni
Journal of Pharmacokinetics and Pharmacodynamics
|
December 9, 2022
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
Roberto Gomeni, Françoise Bressolle-Gomeni
Clinical and Translational Science
|
January 14, 2025
Comparison of Different Machine Learning Methodologies for Predicting the Non-Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials
Roberto Gomeni, Françoise Bressolle-Gomeni
Clinical and Translational Science
|
September 3, 2025
AI-NLME: A New Artificial Intelligence-Driven Nonlinear Mixed Effect Modeling Approach for Analyzing Longitudinal Data in Randomized Placebo-Controlled Clinical Trials
Roberto Gomeni, Françoise Bressolle-Gomeni
Journal of Clinical Pharmacology
|
February 19, 2021
Modeling Complex Pharmacokinetics of Long-Acting Injectable Products Using Convolution-Based Models With Nonparametric Input Functions
Roberto Gomeni, Françoise Bressolle-Gomeni
The AAPS Journal
|
December 11, 2019
Deconvolution Analysis by Non-linear Regression Using a Convolution-Based Model: Comparison of Nonparametric and Parametric Approaches
Roberto Gomeni, Françoise Bressolle-Gomeni
Journal of Clinical Pharmacology
|
January 27, 2018
Is It Time for Going Beyond the P-Value Paradigm With the Estimation of the Probability of Clinical Benefit as a Criterion for Assessing the Outcomes of a Clinical Trial? A Case Study in Patients With Major Depressive Disorder
Roberto Gomeni, Françoise Bressolle-Gomeni, Maurizio Fava
Journal of Clinical Pharmacology
|
February 23, 2016
Response Surface Analysis and Nonlinear Optimization Algorithm for Maximization of Clinical Drug Performance: Application to Extended-Release and Long-Acting Injectable Paliperidone
Roberto Gomeni, Françoise Bressolle-Gomeni, Maurizio Fava
Translational Psychiatry
|
April 29, 2023
Artificial intelligence approach for the analysis of placebo-controlled clinical trials in major depressive disorders accounting for individual propensity to respond to placebo
Roberto Gomeni, Françoise Bressolle-Gomeni, Maurizio Fava
Page
of 2