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Machine Learning & Eu Food Nanotechnology Regulation
* 1 , 2 , 3 , * 4
1  Faculty of Engineering, University of Deusto, Avda. Universidades, 24, 48007, Bilbao, Spain.
2  Uiversity of Deusto, Bilbao, Spain
3  Universidad Pontificia Bolivariana, Colombia
4  Department of Public Law, Faculty of Law, University of Basque Country (UPV/EHU), 48940, Leioa, Spain

https://doi.org/10.3390/mol2net-06-09177 (registering DOI)
Abstract:

In a recent paper we analyzed in detail the principles of EU food and nanotechnology regulations perspectives for Machine Learning application towards safety issues analysis. In-depth review and discussion of the regulation opportunities to apply ML models of nanoparticles was presented involving EU foods nanotechnology regulation. It is concluded Machine Learning could improve the application of nanotechnology food regulation. ML can be applied on this area following the principles lined up by the standards of OECD, EU regulations and EFSA.

Ref: Machine Learning as a Proposal for a Better Application of Food Nanotechnology Regulation in the European UnionRicardo Santana 1 2 3, Enrique Onieva 1, Robin Zuluaga 4, Aliuska Duardo-Sánchez 5, Piedad Gañán 6 Curr Top Med Chem. 2020;20(4):324-332. doi: 10.2174/1568026619666191205152538.

Keywords: Nanotechnology; Food safety; EU Regulation
Comments on this paper
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