Microbiology in the Era of Artificial Intelligence 1st Edition

Grabbing the attention of anyone fascinated by life at the microscopic scale and the power of data, Microbiology in the Era of Artificial Intelligence, 1st Edition by Syed, Muhammad Ali maps the bold intersection of microbial science and machine intelligence. This timely guide reframes how we study pathogens, microbiomes, and antimicrobial resistance using AI-driven tools.

Explore clear, well-organized chapters that bridge foundational microbiology with practical applications of machine learning, neural networks, and bioinformatics. Readers will find approachable explanations of predictive modeling, metagenomic analysis, diagnostic automation, and image-based microbial phenotyping. Real-world case studies and workflow-focused discussions translate complex algorithms into laboratory-ready strategies—making the book valuable for researchers, clinicians, students, and biotech professionals seeking to implement AI in clinical microbiology, environmental surveillance, or pharmaceutical discovery.

Imagine faster, more accurate diagnostics, smarter surveillance of outbreaks, and reproducible data interpretation—this volume shows how those possibilities become practical outcomes. With attention to ethical considerations, data quality, and implementation challenges, the book equips readers to evaluate tools, design experiments, and collaborate across computational and wet-lab teams.

Perfect for university courses, research labs, and industry teams across North America, Europe, Asia, and beyond, Microbiology in the Era of Artificial Intelligence offers a modern roadmap to harnessing AI for microbial discovery and public health. Add this essential resource to your collection to stay at the forefront of microbiology’s digital revolution.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.