Mathematical dose-effect analysis
In order to assess the health risks of chemicals, knowledge about dose-effect relationships are needed in addition to knowledge about effect panorama and exposure. At which dose do the effects start? We develop and use mathematical methods to describe these relationships, called Benchmark Dose (BMD).
The use of BMD increases continuously, as the regulations and guidelines are updated. The design of toxicological studies however has not changed, but is still optimized for classical statistical methods, such as comparison of means with t-test. Our research on BMD focuses on how the new statistical methods could be utilized to reduce the number of laboratory animals. We study how large this potential is and if we can reduce the number of laboratory animals by planning experiments in a smarter way. The aim is to minimize the total number of animals without compromising the ability to assess health risks. The project is based on mathematical simulations, which are then compared with results from real toxicological tests reported in the scientific literature.
Financially supported by the National Research Council.