MyDataModels: AI for more accessible, faster and less expensive toxicological testing services

MyDataModelsa specialist in predictive analysis based on AI and small data and based in Sophia-Antipolispartners with ImmunoSearch, a leader in molecular toxicology research for cosmetics and fragrances, to advance the use of in vitro testing on living tissue.

The consortium also brings together the CNRS and Université Côte d’Azur and some of their common laboratories such as the Institute of Molecular and Cellular Pharmacology (IPMC), the Signals and System Computer Science Laboratory of Sophia Antipolis (I3S) or the Institute of Nice Chemistry (ICN).

Financed by the BPI to the tune of 7 million euros over 4 years as part of its Investment for the future program and officially announced at the World Artificial Intelligence Cannes Festivalthe project New Generation Toxicology in vitro (NewGenToXiv) aims to bring together Technologies, Industries and Academies working in the field of health and thus capitalize on the developments and know-how of the parties present.

In order to capitalize on these developments and both technological and regulatory advances, the consortium aims to create a genomic toxicology sector incorporating the latest developments in single cell sequencing technologies coupled with artificial intelligence (AI).

“The ambition of the consortium is to lead to the creation of a world leader who can notably support the developments of the French cosmetics/perfume industry. Thanks to its “plasticity”, MyDataModels’ AI technology is particularly effective in the biological field and perfectly meets the challenges of NewGenToXiv” indicates Felix-Eliott KudelkaHead of Development and Partnerships, MyDataModels.

For more accessible, faster and less expensive toxicological tests

Traditionally, toxicological studies are conducted on animals. Besides the fact that these tests have become ethically unbearable, they can cost up to several hundred thousand euros and last for years.

Worse, they are mechanically unable to cover the gigantic spectrum of combinations of ingredients used daily by industry in the manufacture of cosmetics and perfumes.

“With NewGenToXiv, AI will make it possible to predict the toxicity of certain mixtures which will then be tested on synthetic skins. In addition to replacing the tests carried out until then on animals, the ambition is to detect and prevent the carcinogenesis of these products. That is to say the appearance of cancers, particularly those of the lung and the liver thanks to the recognized expertise of the academic partners integrated into the project” comments Hervé Groux, CEO of Immunosearch.

“Artificial intelligence (AI) will enable faster and more reliable analysis of present, known data and/or integrate other data, factors still unknown to date. Saving time, lower cost, therefore a more relevant result,” adds Félix-Eliott Kudelka, development and partnership manager, MyDataModels.

“The principle of experience generating and using data data makes it possible to enrich the analysis and work tools of scientists and researchers, within the academies supporting and validating the projects, it is therefore essential to take into account the AI and thus exploit it also in our fields” adds Georges VASSAUX, Inserm Research Director at the IPMC.

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MyDataModels: AI for more accessible, faster and less expensive toxicological testing services


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