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Improved pharmaceuticals using intelligent technologies marks a fundamental shift in how life-changing therapies are conceived and brought to patients. By using predictive modeling and generative algorithms, researchers can identify promising compounds and optimize drug candidates with unprecedented speed and precision. This data analysis approach accelerates early discovery and reduces costly trial-and-error, while opening the door to more targeted, personalized treatments. As AI reshapes the pharmaceutical landscape, it holds the promise of delivering safer, more effective medicines. Revolutionizing Pharmaceuticals With AI-Driven Drug Discovery, Design, and Development explores the advancements of algorithms and computing technology in pharmacology. This book examines how the integration of AI technology with pharmaceuticals accelerates the process of drug discovery, design, and development. Covering topics such as drug toxicity, machine learning, and nutrition systems, this book is an excellent resource for pharmacologists, medical and healthcare professionals, researchers, academicians, and scientists.