The Monte Carlo computational system for stochastic modelling of dietary exposure to food chemicals and nutrients is presented. This system was developed through a European Commission-funded research project. It is accessible as a Web-based application service. The system allows and supports very significant complexity in the data sets used as the model input, but provides a simple, general purpose, linear kernel for model evaluation. Specific features of the system include the ability to enter (arbitrarily) complex mathematical or probabilistic expressions at each and every input data field, automatic bootstrapping on subjects and on subject food intake diaries, and custom kernels to apply brand information such as market share and loyalty to the calculation of food and chemical intake.
- Cosmetics & Fragrances
- Food Safety & Nutrition
- Agri-Food Science
Our platform hosts products designed and developed to advance global health and safety and improve the way your data is used. Find out more about the way we handle complex projects and help our clients gain valuable insights.
Dietary Analysis Tools
Creme Global Platform
We are on a mission to enable better decision-making in a complex world using science and data.