Abstract
Artificial intelligence (AI) is reshaping the pharmaceutical landscape by accelerating and optimizing drug discovery processes. Through machine learning, deep learning, and data mining techniques, AI models can predict drug-target interactions, identify novel molecules, and streamline lead optimization. This article explores the integration of AI into various stages of drug discovery, highlights its advantages over traditional methods, and discusses current challenges and future directions for AI-powered pharmaceutical research.
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