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Elsevier

The AI Biotech Breakthrough

Innovating Life with Intelligent Machines

  • 1st Edition - May 1, 2027
  • Latest edition
  • Editors: Dibyajit Lahiri, Sudipta Sahana, Susmita Mukherjee, Moupriya Nag, Buddhadeb Pradhan
  • Language: English

The AI Biotech Breakthrough: Innovating Life with Intelligent Machines explores how artificial intelligence is revolutionizing the fields of genomics, biochemistry, and biotec… Read more

Description

The AI Biotech Breakthrough: Innovating Life with Intelligent Machines explores how artificial intelligence is revolutionizing the fields of genomics, biochemistry, and biotechnology. With an emphasis on practical implementation and cross-disciplinary integration, this book provides researchers with a forward-looking roadmap for applying AI tools in biological research and life science innovation. Chapters cover foundational AI concepts tailored for biologists and explore their applications across key biotechnology domains. Readers will find detailed analysis of how machine learning and computational methods accelerate drug discovery, optimize genomic and proteomic data interpretation, and enable novel approaches in metabolic engineering and synthetic biology. Additional topics include AI-driven diagnostics, personalized medicine, bioprocess optimization, and the use of AI in agricultural biotechnology and microbial systems. Each chapter includes real-world case studies, method summaries, and discussions of emerging trends, providing a high-value guide for researchers at the interface of biology and data science. This book is a valuable resource for geneticists, biotechnologists, computational biologists, systems biologists, bioinformaticians, and graduate students seeking to harness the power of AI for transformative impact across the life sciences.

Key features

  • Explores how AI is transforming drug discovery, diagnostics, and personalized medicine
  • Examines the role of machine learning in genomic analysis, biomanufacturing, and synthetic biology
  • Introduces programming and data science tools for biotechnology researchers without computer science backgrounds
  • Discusses AI applications in agriculture, microbial biotechnology, and environmental sustainability
  • Highlights real-world case studies and future directions at the AI–biotech interface

Readership

Geneticists, biotechnologists, computational biologists, systems biologists, bioinformaticians, graduate students

Table of contents

1. Introduction to AI in Biotechnology

2. Fundamentals of Artificial Intelligence for Biotechnology

3. AI-Driven Drug Discovery and Development

4. Genomics and Precision Medicine

5. AI in Agricultural Biotechnology

6. Synthetic Biology and AI

7. AI-Powered Diagnostics

8. Applications of AI in Microbial Biotechnology

9. Biomanufacturing and Process Optimization

10. Predictive Modeling in Biotechnology

11. AI for Environmental Biotechnology

12. AI-Driven Protein Structure Prediction

13. Big Data in Biotechnology

14. Ethical and Regulatory Challenges

15. AI in Biotechnological Education and Research

16. Future Directions and Innovations

17. Case Studies and Success Stories

Product details

  • Edition: 1
  • Latest edition
  • Published: May 1, 2027
  • Language: English

About the editors

DL

Dibyajit Lahiri

Dr. Dibyajit Lahiri is an Associate Professor in the Department of Biotechnology at the University of Engineering & Management, Kolkata, India, where he conducts advanced interdisciplinary research in microbiology, biofilms, antimicrobial resistance, and microbial biotechnology. His scholarly work emphasizes understanding the mechanisms of microbial biofilm formation and inhibition, particularly on medically relevant surfaces and environmental substrates, and exploring innovative strategies for combating biofilm-associated antimicrobial resistance.

Dr. Lahiri has authored and co-authored a substantial body of scholarly work, with over 100 publications including high-impact journal articles, book chapters, and reviews. His research portfolio covers topics such as biofilm-mediated degradation of environmental pollutants, novel antibiofilm agents (including nanoscale and natural compounds), and biotechnological applications of microbial systems, with an h-index around 38 reflecting significant citation impact and academic influence.

He has contributed to major scientific discussions on microbial biofilms in diverse contexts, including their roles in chronic infections, environmental microplastic degradation, and biofuel production, demonstrating both fundamental and applied research orientations. His collaborative research outputs also include contributions to antimicrobial peptide studies and microbial electrochemical systems.

Dr. Lahiri serves as editor and contributor to scholarly publications in his field, and he participates actively in international research networks and editorial activities. His work is regularly presented at scientific forums and continually contributes to advancing microbial biotechnology and strategies to mitigate biofilm-associated challenges in health, industry, and the environment.

Affiliations and expertise
Department of Biotechnology, Institute of Engineering and Management, University of Engineering and Management, Kolkata, West Bengal, India

SS

Sudipta Sahana

Dr. Sudipta Sahana is a Professor in the Department of Computer Science and Engineering (AI & ML) at UEM, Kolkata. He holds a PhD from the University of Kalyani and has over fifteen years of teaching and research experience. Dr. Sahana has published more than 75 papers in international journals and conference proceedings, with research interests in cloud computing and machine learning. He is a life member of the Computer Society of India (CSI) and a fellow of the Institution of Electronics and Telecommunication Engineers (IETE).
Affiliations and expertise
Professor, Department of Computer Science and Engineering (AI & ML), University of Engineering and Management, Kolkata, India

SM

Susmita Mukherjee

Susmita Mukherjee, Professor and Head of the Department, Biotechnology, University of Engineering & Management, Kolkata. She has done B. Sc. & M. Sc. from University of Kalyani, India and PhD from Indian Institute of Engineering Science & Technology, Shibpur, India. Her research interest is on ecotoxicology and environmental remediation. She has worked on the East Kolkata Wetlands, the Ramsar site in West Bengal. Her major work is on arsenic remediation. She has more than fifteen years of teaching experience. She is Associate Editor of the journal, Applied Biochemistry and Biotechnology, Springer-Nature, Managing Editor of American Journal of Bio-Technology Research, SMART Society, USA. She has acted as guest editor in journals by Springer-Nature, ELSEVIER, Taylor and Frances and edited books published by these publication houses. She has published may research papers in journals of international repute and two patents published.
Affiliations and expertise
Professor and Head of the Department of Biotechnology, University of Engineering and Management, India

MN

Moupriya Nag

Moupriya Nag is presently working as Associate Professor in the Department of Biotechnology, University of Engineering & Management, Kolkata. Her research interests includes single molecule Biophysics of protein unfolding/refolding and protein aggregation kinetics and its mechanism of action especially the amyloid proteins in neurodegenerative disorders. Recently, her research focuses on functional amyloids in bacteria and their relation in forming biofilms. Her work deals with developing novel antimicrobial and anti-biofilm compounds from natural sources including plants, microbes and green synthesized nanoparticles. She has about seven years of teaching experience in Biophysics, Bioinformatics, Bioprocess and Biotechnology, Enzyme Technology, Computing, Molecular Modelling and Drug Design. She has also published many research articles in the peer-reviewed international journals and authored/edited or co-authored/edited numerous books/book chapters. She is also a member of many scientific societies like Indian Biophysical Society and Indian Science Congress Association.

Affiliations and expertise
Department of Biotechnology, Institute of Engineering and Management, University of Engineering and Management, Kolkata, 1 Department of Biotechnology, Institute of Engineering and Management, University of Engineering and Management, Kolkata

BP

Buddhadeb Pradhan

Dr. Buddhadeb Pradhan is an accomplished academic and researcher currently serving as an Associate Professor at the University of Engineering & Management, Kolkata. He holds a Ph.D. in Robotics from NIT Durgapur and an M.Tech in Computer Science & Engineering from NIST under BPUT. With over a decade of teaching and research experience across premier institutes including NIT Jamshedpur and GITAM University, his core research interests encompass Robotics, Internet of Things (IoT), Cloud Computing, and Machine Learning. Dr. Pradhan has published extensively in high-impact journals, contributed to book chapters, holds multiple patents, and actively participates in editorial and reviewer roles for reputed international journals and conferences.
Affiliations and expertise
Associate Professor, University of Engineering & Management, Kolkata, India