Artificial Intelligence in Drug Discovery and Development
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Beschreibung
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.
- Explores how AI transforms every stage of drug discovery—from identification of drug targets to clinical trials;
- Investigates how AI is used to screen chemical compounds, predict toxicity, and personalize treatment plans;
- Presents case studies, current research trends, and the challenges of integrating AI into traditional drug pipelines.
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.
Explores how AI transforms every stage of drug discovery—from identification of drug targets to clinical trials Investigates how AI is used to screen chemical compounds, predict toxicity, and personalize treatment plans Presents case studies, current research trends, and the challenges of integrating AI into traditional drug pipelines
Autor*in
Khalid Shaikh
Themen in »Artificial Intelligence in Drug Discovery and Development«
AI in Pharmaceutical Sciences AI in Early Drug Discovery AI for Preclinical and Translational Research Machine Learning in Clinical Trial Design AI in Drug Repurposing AI-driven Drug Development