Artificial Intelligence in Microbiology: Scope and Challenges volume-II

Grab your copy of Artificial Intelligence in Microbiology: Scope and Challenges Volume-II by Akanksha Srivastava and Vaibhav Mishra — a timely guide that brings together practical AI methods and microbiology insight for researchers, clinicians, and students.

This volume unpacks how machine learning, deep learning, and predictive modeling are transforming microbiology—from genomic analysis and metagenomics to diagnostic imaging, antimicrobial resistance surveillance, and outbreak forecasting. Clear, application-focused chapters explain algorithms, data pipelines, and validation strategies while highlighting real-world case studies and regional public-health contexts. The book balances technical rigor with accessibility, making complex AI tools understandable for bench scientists and bioinformaticians alike.

If you work in clinical microbiology, biotechnology, public health, or academic research—especially in India and the broader Asia-Pacific region—this book connects global AI trends to local challenges such as infectious disease surveillance and resistance monitoring. It provides actionable frameworks for implementing AI-driven workflows in laboratories, hospitals, and research centers, and emphasizes reproducibility, ethics, and data stewardship.

Practical, forward-looking, and well-structured, this volume is ideal for postgraduate courses, research libraries, and professionals seeking to integrate AI into microbiological practice. Enhance your toolkit with contemporary methods and strategic perspectives that bridge computational science and microbiological expertise.

Order Artificial Intelligence in Microbiology: Scope and Challenges Volume-II today to stay at the forefront of microbiology research and public-health innovation.

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