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Using AI for drug discovery and development presents challenges such as data scarcity, model interpretability, and regulatory approval. However, AI offers opportunities for accelerating the drug discovery process, identifying novel drug candidates, and optimizing drug design through virtual screening, molecular modeling, and drug repurposing.