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This is a Literature Review study.

Application of Artificial Intelligence in Drug Discovery and Development: Targeted Design and Toxicological Property Prediction

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Review reveals AI's role in optimizing drug design and improving toxicology predictions in drug development.

AI significantly shortens research cycles and enhances drug design through precise protein structure predictions.
Advanced AI models improve toxicology prediction accuracy, leading to safer drug development outcomes.
The application of AI in drug research demonstrates a shift towards data-driven methods, boosting efficiency.
Integrating AI into the drug development process supports better identification and optimization of cancer treatment targets.

Xinran Wang (2025) studied this question.

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