is-tox.com
is-tox.com offers AI-driven in silico toxicology tools for regulatory safety assessments. The iS-Tox platform uses machine learning models such as random forest, k-NN, deep learning, and QSTR to map structure-toxicity relationships and visualize applicability domains. As a SaaS product, it serves pharmaceutical, skincare, food, biocidal, and fine chemistry companies. The platform targets new molecules, cosmetic ingredients, drug impurities, biocides, and food contact materials. By applying AI and QSTR methods, it aims to scale regulatory toxicology evaluations across industries.
is-tox.com
is-tox.com offers AI-driven in silico toxicology tools for regulatory safety assessments. The iS-Tox platform uses machine learning models such as random forest, k-NN, deep learning, and QSTR to map structure-toxicity relationships and visualize applicability domains. As a SaaS product, it serves pharmaceutical, skincare, food, biocidal, and fine chemistry companies. The platform targets new molecules, cosmetic ingredients, drug impurities, biocides, and food contact materials. By applying AI and QSTR methods, it aims to scale regulatory toxicology evaluations across industries.