The toxicity of all chemicals can be predicted using numerical solutions based on deep learning/machine learning artificial intelligence technologies.
Tests such as neurotoxicity, nephrotoxicity, carcinogenic, mutagenic, endocrine disruptor, PBT, skin sensitizer, inhalation sensitizer can be conducted.
Materials to provide
The chemical structure of molecules in 2D with information on stereochemistry.
Further details on the project may be requested.
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Typical deliverables
Full analytical report (explanation of the method, results to provide a rationale for classifying compounds according to the toxicity models evaluated).
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