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Date 21 March 2019
Title CHCS Training “Advanced Toxicology” (Module 11)
Organiser Chemical Hazards Communication Society (CHCS)
Location Malmaison Hotel, 1-3 Piccadilly, Manchester M1 1LZ

This module is an advanced training day in toxicology that follows on from Module 5. At the basic level, we learnt that standard test data can provide us with classification end points. At the advanced level we will also learn the basics of human risk assessment such as how to derive a DNEL/DMEL. An advanced level of understanding in toxicology is required when it comes to understand the toxicological mechanisms leading to different toxicological end points. We also learn about the latest achievements in toxicological testing (in chemico, in vitro and in silico methods).

SDS writers reading data most often deal with data from animal studies, but on occasion data from humans that have been exposed (case studies). What kind of challenges are brought forward in handling data from humans and how is data from animals ‘translated’ into what is true for humans?

This module is aimed at those with a reasonable technical understanding of toxicology, chemistry and chemical supply classification.

To ensure the most effective training with optimum involvement in participative exercises, there will be a limit of 14 on the number of students. Attendance on this series of modules will ensure that your SDSs meet the increasing expectations of both your customers and the regulators.

What You Will Learn

This module follows on from Module 5 – Basic Toxicology and builds on basic principles by considering chronic toxicity studies and end points (CMR) in more depth. It will also help those reading data to interpret whenever there is a toxicological concern regarding findings in the literature.

  • Hazard versus risk
  • Basic derivation of DNEL (derived no-effect level) including allometric scaling
  • The challenge of handling numerous data, including data from human exposure
  • Adverse outcome pathway (AOP)
  • Basic introduction to Q(SAR), computer models
  • Where to find the data – about sourcing of data from the literature
  • There will be opportunities for delegates to discuss personal experiences and ask questions relating to their own specific range of products
Further Information