NONMEM Users Network Archive

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SADAPT first workshop in the Bay Area

From: Serge Guzy <GUZY>
Date: Wed, 15 Jul 2009 12:57:21 -0700

Dear Colleagues
I am happy to announce that the first Bay Area S-ADAPT Introductory
Workshop will be held on September 9th at the University of California
San Francisco, Mission Bay Campus
Community Center. For registration and details please visit
http://www.bapkpd.org

Regards,
Serge Guzy

President, CEO, POP-PHARM; Inc.

Principal Scientist, Global Modeling and Simulation

 

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One Day S-ADAPT Introductory Workshop:

Population Data Analysis using Monte-Carlo Parametric Expectation
Maximization Algorithm (MCPEM) in S-ADAPT

 

San Francisco CA

September 9, 2009

 

 

Instructor. Serge Guzy, Ph.D.

Principal Scientist, XOMA, Berkeley, CA

CEO, POP-Pharm, Inc., Berkeley, CA

 

Summary. The S-ADAPT Program provides an environment for performing
population analysis of data, with or without covariates, using PK/PD
models and state-of-the-art nonlinear mixed-effect estimation methods
such as MCPEM (the one taught in this workshop), SAEM and a full
Bayesian MCMC algorithm. The program also has extensive simulation
capabilities, which enables optimization of clinical trial designs
(e.g., to improve success in terms of reducing false negatives) and
permits decision-making (go-no go). This one-day workshop includes
didactic as well as hand-on training on the S-ADAPT program.

 

Location. link to directions
http://www.ucsf.edu/maps/directions-to-ucsf-mission-bay/

University of California San Francisco, Mission Bay Campus

Community Center

1675 Owen Street, San Francisco CA

 

Cost & Registration. The cost of early registration (before August 7,
2009) for the workshop (including breakfast, lunch & parking) is $500. A
reduced rate of $400 for academicians and $300 for students is available
to a limited number. After August 8, 2009, the cost will be $600
general, $500 academics and $400 for students. Registration may be done
by following the link on http://www.bapkpd.org <http://www.bapkpd.org/>

 

 

Target Audience. This workshop is useful to biomedical scientists who
desire a tool for modeling drug and biological processes and making
predictions that are important in planning clinical research. The
participant should have knowledge of pharmacokinetic (PK) and
pharmacodynamic (PD) principles with a basic understanding of the
population approach.

 

Goal. The goal of the workshop is to have the participant gain a working
familiarity with the Monte-Carlo Parametric Expectation Maximization
(MCPEM) as implemented in the S-ADAPT program, for analyzing population
PK/PD data and performing simulations. Additionally, the participant
will be introduced to advanced features of S-ADAPT, such as the
paral-lel/distributed computing capability.

 

Objectives. At the conclusion of the workshop, participants should be
able to:

* Use S-ADAPT to translate biological processes into a
mathematical framework (compartment analysis, turnover processes, etc.),
and perform population PK/PD analysis, and

* Use the results of a population analysis to guide optimal
clinical trial design through the use S-ADAPT population simulation
tools.

 

Workshop Schedule

    Morning (start 7:30 am)

Welcome and S-ADAPT Installation

Introduction to Mixed Effect Modeling and MCPEM for Population Data
Analysis

Introduction to Basic Programming in S-ADAPT

Population PK Modeling with Analytical Solutions

Population PK Model with Covariates

    Afternoon (end 4:30 pm)

Mechanism-based Population PK/PD Modeling with Differential Equations

Modeling with Inter-occasional Variability

Population Mixture Models

 

Hardware/Software Requirements. Participants will need to bring their
own laptop PC with either Windows XP or Vista. S-ADAPT and G95 fortran
compiler should be installed prior to the workshop. The software is
available free of charge from:

http://bmsr.usc.edu/Software/ADAPT/SADAPTsoftware.html

 

Organizers.

Nancy Sambol, Pharm.D, UCSF, Dept of Bioengineering & Therapeutic
Sciences,

          contact information: nancy.sambol

and the BAPKPD Network (http://www.bapkpd.org <http://www.bapkpd.org/> )

 

 


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Received on Wed Jul 15 2009 - 15:57:21 EDT

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