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Full Description
This book provides a comprehensive exploration of how artificial intelligence (AI) is transforming every stage of drug discovery and development—from the initial identification of drug targets to clinical trials and regulatory approval. The book delves into how AI is used to screen chemical compounds, predict toxicity, personalize treatment plans, and even discover new uses for existing drugs. Each chapter presents real-world case studies, current research trends, and the challenges of integrating AI into traditional drug pipelines, including data quality, ethical concerns, and regulatory hurdles. Written for researchers, students, healthcare professionals, and industry leaders, this book combines cutting-edge scientific insights with practical applications.
Contents
Introduction.- Artificial Intelligence in Pharmaceutical Sciences.- AI in Early Drug Discovery.- AI for Preclinical and Translational Research.- Machine Learning in Clinical Trial Design and Optimization.- AI in Drug Repurposing and Personalized Medicine.- Regulatory, Ethical, and Data Challenges.- Future Trends and Innovations in AI-driven Drug Development.- Conclusion.



