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9th Advanced course on Pharmacometrics

From: roberto gomeni <roberto.gomeni>
Date: Wed, 26 Jul 2017 17:50:51 +0200

PharmacoMetrica is holding the:


9th Advanced course on Pharmacometrics

October 9-11, 2017: Chateau de Longcol (France)


This is a 3-day course designed to present advanced concepts on
pharmacometrics using novel methodologies based on integrated
drug-disease-trial models and surface response analysis. Case studies are
presented to illustrate how these tools can be used for improving the
decision-making process during drug development, for facilitating the
development and use of predictive models for describing complex PK profiles,
in-vitro/in-vivo correlation, and exposure-response relationships in
presence of confounding factors such as placebo effect and tolerance.

Course objectives


To present concepts and practical solutions for:

Advanced PK modeling

* To characterize the complex in-vivo absorption processes of
extended release formulations (ER) and Long Acting Injectable (LAI)
formulations using convolution-based approach

* To evaluate In-Vitro/In-Vivo correlation methods, including
convolution-deconvolution approach


Advanced exposure-response modeling

* To evaluate the relationship between drug exposure and clinical

* To develop models accounting for the confounding role of time
varying placebo response in the assessment of the clinical response

* To develop integrated disease-drug-trial models

* To handle acute tolerance effect

* To estimate the probability of clinical benefit of a treatment


Optimizing drug performances

* To implement drug optimization strategies using surface-response

* To determine the relationship between drug delivery and clinical

* To determine dose, dosage regimen and dosing strategies for
optimizing the clinical benefit


Course material


The R scripts (including Shiny based applications) used in the hands-on
sessions and the NONMEM control streams will be distributed to the
participants. The material includes:


o the convolution/deconvolution analysis,

o the clinical trial simulator for describing the clinical response in
presence of placebo and active drug response,

o the estimation of the optimal in-vitro dissolution profiles

o the convolution/deconvolution analysis,

o the non-linear optimizer used in the surface-response analysis


Venue: Chateau de Longcol (France): <>


Additional details are available at:



Roberto Gomeni, PhD, HDR, Adjunct Professor with the Division of
Pharmacotherapy and Experimental Therapeutics in the UNC Eshelman School of
Pharmacy at The University of North Carolina at Chapel Hill



Longcol, 12270 La Fouillade (France)

E-mail: <mailto:roberto.gomeni



Received on Wed Jul 26 2017 - 11:50:51 EDT

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