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Roberto Gomeni

Showing results (1-10 of 74) with videos related to

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Current Opinion in Pharmacology|February 26, 2014
Use of predictive models in CNS diseasesRoberto Gomeni
Journal of Pharmacokinetics and Pharmacodynamics|December 25, 2012
Exposure-response modeling of anti-depressant treatments: the confounding role of placebo effectNavin Goyal, Roberto Gomeni
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|April 23, 2013
A latent variable approach in simultaneous modeling of longitudinal and dropout data in schizophrenia trialsNavin Goyal, Roberto Gomeni
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|September 28, 2013
Amyotrophic lateral sclerosis disease progression modelRoberto Gomeni, Maurizio Fava,
Journal of Clinical Pharmacology|March 6, 2026
Deep-Learning- versus Hypothesis-Driven Modeling in Model-Informed Drug Development: A PK/PD Case StudyRoberto Gomeni, Françoise Bressolle-Gomeni
British Journal of Clinical Pharmacology|May 10, 2007
Bayesian modelling and ROC analysis to predict placebo responders using clinical score measured in the initial weeks of treatment in depression trialsRoberto Gomeni, Emilio Merlo-Pich
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 MethodsRoberto 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 productsRoberto 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 TrialsRoberto Gomeni, Françoise Bressolle-Gomeni
Journal of Pharmacokinetics and Pharmacodynamics|December 10, 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 treatmentRoberto Gomeni, F Bressolle-Gomeni
Pageof 8

Showing results (1-10 of 74) with videos related to

Sort By:
Pageof 8
Current Opinion in Pharmacology|February 26, 2014
Use of predictive models in CNS diseasesRoberto Gomeni
Journal of Pharmacokinetics and Pharmacodynamics|December 25, 2012
Exposure-response modeling of anti-depressant treatments: the confounding role of placebo effectNavin Goyal, Roberto Gomeni
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|April 23, 2013
A latent variable approach in simultaneous modeling of longitudinal and dropout data in schizophrenia trialsNavin Goyal, Roberto Gomeni
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|September 28, 2013
Amyotrophic lateral sclerosis disease progression modelRoberto Gomeni, Maurizio Fava,
Journal of Clinical Pharmacology|March 6, 2026
Deep-Learning- versus Hypothesis-Driven Modeling in Model-Informed Drug Development: A PK/PD Case StudyRoberto Gomeni, Françoise Bressolle-Gomeni
British Journal of Clinical Pharmacology|May 10, 2007
Bayesian modelling and ROC analysis to predict placebo responders using clinical score measured in the initial weeks of treatment in depression trialsRoberto Gomeni, Emilio Merlo-Pich
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 MethodsRoberto 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 productsRoberto 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 TrialsRoberto Gomeni, Françoise Bressolle-Gomeni
Journal of Pharmacokinetics and Pharmacodynamics|December 10, 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 treatmentRoberto Gomeni, F Bressolle-Gomeni
Pageof 8