Elsevier Bioinformatics, AI, Machine Learning Microbial Drug Development

Bioinformatics, AI, and Machine Learning in Microbial Drug Development bridges microbiology, bioinformatics, artificial intelligence, and machine learning to equip professionals with practical frameworks for pharmaceutical innovation. This comprehensive resource from Academic Press spans 4 parts and 19 chapters, delivering cutting-edge insights, real-world guidance, and case studies that demonstrate how these technologies integrate into modern drug development. Whether you work in pharmaceutical microbiology, biotech research, or computational biology, this book provides the interdisciplinary knowledge needed to solve complex challenges at the intersection of technology and medicine. Learn how AI and machine learning accelerate antimicrobial discovery, optimise microbial screening processes, and improve drug efficacy predictions. The structured approach helps readers navigate technical concepts while building practical expertise in applying these powerful tools to actual development scenarios.