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: [email protected]
and the BAPKPD Network ( http://www.bapkpd.org http://www.bapkpd.org/ )
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