Drug Discovery And Development

This book, authors discusses the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. Authors consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.

This book demonstrates that various expertise are essential for drug discovery including synthetic or natural drugs, clinical pharmacology, receptor identification, drug metabolism, pharmacodynamic and pharmacokinetic research.

Topics described in this book emphasize the progresses in computational applications, pharmacokinetics advances, and molecular modeling developments. The book also contains special topics describing target deorphaning in Mycobacterium tuberculosis, therapy treatment of some rare diseases, and developments in the pediatric drug discovery process.