Artificial Intelligence in Microbiology: Scope and Challenges Volume 1 1st Edition

Artificial Intelligence in Microbiology: Scope and Challenges Volume 1, 1st Edition by Akanksha Srivastava and Vaibhav Mishra is a timely, authoritative guide for scientists, clinicians, students, and industry professionals exploring the intersection of AI in microbiology. This compelling volume brings clarity to how machine learning, deep learning, and data-driven models are transforming microbial genomics, diagnostics, epidemiology, and drug discovery.

Begin your exploration with clear, accessible explanations of core algorithms and pipelines, then move into practical applications—pathogen identification, antimicrobial resistance prediction, and high-throughput sequencing analysis—illustrated with real-world perspectives. The book balances theoretical foundations with problem-focused chapters that highlight limitations, ethical considerations, and implementation challenges in laboratory and clinical settings.

Ideal for researchers and biotech entrepreneurs in India, North America, Europe, and the Asia-Pacific region, this book equips readers to harness AI tools responsibly and effectively. It also serves as a rigorous classroom resource for graduate courses in bioinformatics, computational biology, and public health informatics.

Whether you seek to enhance research workflows, design smarter diagnostic tools, or understand the regulatory and data-quality hurdles of AI adoption, this volume provides actionable insight and strategic context. Concise, well-referenced, and forward-looking, it maps the opportunities and obstacles that define the future of microbiology.

Add this essential reference to your professional library to stay at the forefront of microbial innovation. Order your copy today and start applying intelligent solutions to microbiology’s most pressing challenges.

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