Deep Learning to Artificial Intelligence: A Machine Intelligence Approach to Drug Discovery Abstract The paper explores the pivotal role of artifi

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the pivotal role of artificial intelligence (AI) and machine learning (ML) in drug discovery and development. It delves into the evolution of AI from ML to deep learning and its application across various stages of the drug discovery process. The article underscores the challenges in traditional drug discovery and how AI can surmount them, providing an overview of AI applications in drug design and discovery, encompassing virtual screening, toxicity prediction, drug monitoring, and drug repositioning. It also delves into the history and classification of AI in healthcare and pharmaceutical industries. The comprehensive list of references further underscores the significance of AI and deep learning in drug discovery. The use of AI and ML in drug discovery is crucial for identifying potential drug targets, finding suitable drug-like molecules, and improving drug development processes.