Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu INRA ENVT EAVPT ANR EUcast

VETCAST2018

Vetcast Workshop 2018

Determination of clinical breakpoints / Modelling and simulation of pharmacokinetic data

22 & 23 June 2018 Wroclaw (Poland)

2 one-day workshops

Workshop 1 : determination of clinical breakpoints

Download program June 22, 2018

Time Activity - Presented by L. Pelligand and tutors
9h00 – 9h45 VetCAST approach to clinical breakpoint
9h45 – 10h30 Defining wild type distribution
ECOFF: practical exercise
10h30 - 11h00 Coffee break
11h00 – 11h45 What is an MIC? Monte Carlo appraisal
11h45 – 12h30 Introduction to population pharmacokinetics
12h30 – 13h30 Lunch   
13h30 – 15h00 Exercise 2: Step by step building of a population model with Phoenix to estimate typical PK values and random parameters to establish PK/PD cut-off of florfenicol 
15h00 - 15h30 Afternoon break
15h30 – 16h00 Continued and debriefing
16h00 – 16h45 Determination of PD parameters for florfenicol using a semi-mechanistic model and in silico dose fractionation
16h45 – 17h00 End of the workshop, concluding remarks

Workshop 2: Modelling and simulation of pharmacokinetic data

Download program June 23, 2018

Time Activity
  Nonlinear mixed-effects (NLME) models - Dr. Jonathan Mochel
09:00 – 09:30 Introduction
  Concept and definitions
  Exploiting patients’ characteristics to explain variability in drug exposure
  Model building, evaluation and validation
09:30 – 10:00 Applications in Veterinary Medicine
10:00 – 10:30 Coffee break
10:30 – 12:00 Software demonstration
  Available software
  Hands-on example: Florfenicol pharmacokinetics
12:00-13:00 Lunch Break
  Physiological-based pharmacokinetic (PBPK) models - Prof. Ronette Gehring
13:00 – 14:00 Introduction
  What are PBPK models?
  How are they different from other PK models?
  What are the advantages and disadvantages of this approach to PK modeling?
14:00 – 15:00 Demonstration of a basic PBPK model using Berkley Madonna
15:00 – 15:30 Coffee break
15:30 – 16:30 Practical aspects
  Software
  Data sources
  Steps to building a PBPK model
16:30 – 17:00 Applications of PBPK models, including demonstrations of examples