This study explores the transformative impact of Artificial Intelligence (AI) techniques, such as machine learning and deep learning, on drug discovery. It highlights the roles of Al in enhancing efficiency and precision, accelerating processes, refining outcomes, and managing large datasets. Real-world applications, like AI-driven drug screening and predictive modeling, are discussed, along with AI's potential for personalized drug discovery and ethical considerations. The current landscape and future implications of AI in drug discovery are examined, underscoring its ability to derive efficient and tailored treatment solutions.
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Samuel Nzube Nwosu (2024) studied this question.
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