Objectives of the training course

- A better understanding of TKTD models, especially GUTS models for survival data.

- An overview of ready-to-use and user-friendly tools to use GUTS models in practice from real case-studies.

When ?

02 and 03 of June 2021 - 12:00-16:00

Where ?

Videoconference - Publics

The course is intended for PhD students, researchers, and scientists in ecotoxicology and environmental sciences Training course content As recently emphasised by EFSA, toxicokinetictoxicodynamic (TKTD) models are of particular interest for regulatory risk assessment of pesticides for aquatic organisms. TKTD models can encompass a large set of mechanisms describing the compound kinetics inside organisms as well as their effect at the individual level. Compared to classical dose-response models, TKTD approaches have many advantages: Accounting for temporal aspects of exposure and toxicity, considering data points all along the experiments and not only at the end, and making predictions for untested situations such as realistic field exposure scenarios (e.g., time-variable pulsed exposure profiles).

The General Unified Threshold model of Survival (GUTS) is within the most recent and innovative TKTD framework to deal with survival toxicity test data but is still underused in practice due to specialist programming and statistical skills that are necessary to run models in practice. This training course aims at presenting the theory of GUTS models and at introducing the participants with dedicated tools allowing the practical use of GUTS models.

Speakers

  • Sandrine Charles | University Lyon 1
  • Virgile Baudrot | INRAE
  • Harry Byers | ANSES
  • Benoît Goussen | IBACON GmbH
  • Aude RATIER | University Lyon 1

 

Rate

  • Regular Ticket : 550€
  • Student Ticket : 400€

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More information…

For questions about training or registration, please contact Damien Baudiffier, Scientific Program Officer at the Rovaltain Foundation : d.baudiffier@fcsrovaltain.org.

WEBSITE : https://sites.google.com/view/gutsmodelling/​​​​​​​