Modelling Nanomaterial Toxicity

MODENA Events 2014

Upcoming Events for the MODENA Action in 2014 are listed below...Full details of these meetings will be added as they become available. 


MODENA Training School, Plovdiv Bulgaria.


This 2014 training school was postponed until April 2015.
Further details are now available here. 


Location: Hotel Ramada Trimontium, 2 Kap. Raicho str. 4000, Plovdiv, Bulgaria. 

 

The toxicity of Engineered Nanoparticles needs to be assessed because of the likelihood of these materials coming into contact with humans and the environment. Currently, chemical materials are classified according to their toxicity on a case by case basis. Clearly this is not satisfactory. A more ambitious goal would be a classification rationale for nanomaterials based on their physico-chemical characteristics or common toxic endpoints. An essential step towards this goal would be the creation of mathematical models describing the relationship between the nanomaterial dose, and their physico-chemical characteristics, and the toxic endpoints (e.g. oxidative stress, inflammation). 

 

These models will facilitate the prediction of the nanomaterial hazard potential, based on their characteristics and can be used to predict by reading across from the results of known materials. By identifying the physico-chemical characteristics driving the toxicity, these models can also help in the design of future nanomaterials which are ‘safe-by-design’. Eventually, the clear advantage of using models for prediction is in the reduction of experiments, in vitro and in vivo.

 


 

 

MODENA Working Group Meeting, Syracuse, 10th - 11th October 2014.

The agenda for this meeting is now available (pdf)



 


MODENA Training School, Wednesday 10th to Friday 12th September 2014.


Location: G&V Royal Mile Hotel, 1 George IV Bridge, Edinburgh, EH1 1AD, UK.



The toxicity of Engineered Nanoparticles needs to be assessed because of the likelihood of these materials coming into contact with humans and the environment. Currently, chemical materials are classified according to their toxicity on a case by case basis. Clearly this is not satisfactory. A more ambitious goal would be a classification rationale for nanomaterials based on their physico-chemical characteristics or common toxic endpoints. An essential step towards this goal would be the creation of mathematical models describing the relationship between the nanomaterial dose, and their physico-chemical characteristics, and the toxic endpoints (e.g. oxidative stress, inflammation). 

 

These models will facilitate the prediction of the nanomaterial hazard potential, based on their characteristics and can be used to predict by reading across from the results of known materials. By identifying the physico-chemical characteristics driving the toxicity, these models can also help in the design of future nanomaterials which are ‘safe-by-design’. Eventually, the clear advantage of using models for prediction is in the reduction of experiments, in vitro and in vivo.

 

TD1204 was implemented to support the development of mathematical models for predicting the potential toxicity of engineered nanomaterials. In the first training school for 2014 in Edinburgh (UK), 10th to 12th September 2014, we will cover the following:

 

  • Materials and their Exposure
    • Nanoparticle Characterisation
    • Human and Environmental Exposure to Nanoparticles
  • Fundamentals of Nanotoxicology
    • Mammalian Toxicology
    • Eco-Toxicology
    • Models of Nanoparticle Toxicity
  • Theory of Modelling
    • Models of Toxicity and Eco-toxicity
    • Practical Sessions

 

For registration information please contact susan.young@iom-world.org, who will provide further details. 

 

Interested trainees should send a CV and letter of motivation by 17:00 (UK) on Wednesday 20th August, to susan.young@iom-world.org with places being allocated thereafter.

Eligible participants will receive a contribution towards travel and accommodation of 780 Euros.

 

Participants in the training school need to provide their own their internet enabled laptop computer for use on the course. Wi-Fi will be available at the training venue.

 

Course software and downloads

 

The course will make use of the Knime Analytics Platform. Attendees should download and install the software in advance of the course.

 

The software download is available at : https://www.knime.org/downloads/overview. Be sure to download "KNIME + all free extensions".

 

An introductory tutorial for KNIME is available on YouTube: http://www.youtube.com/user/KNIMETV