Machine learning in toxicological sciences: opportunities for assessing drug toxicity

Machine learning (ML) in toxicological sciences is growing exponentially, which presents unprecedented opportunities and brings up important considerations for using ML in this field. This review discusses supervised, unsupervised, and reinforcement learning and their applications to toxicology. The...

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Bibliographic Details
Main Authors: Lusine Tonoyan (Author), Arno G. Siraki (Author)
Format: Book
Published: Frontiers Media S.A., 2024-02-01T00:00:00Z.
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3rd Floor Main Library

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