A Biologist’s Guide to Artificial Intelligence Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences

A Biologist?s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist?s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms.

1. An Introduction to Artificial Intelligence from a Biologist’s Perspective 2. AI and Biology; Their Potential to Transform Together 3. Artificial Intelligence Techniques Most Popularly Used in Biology 4. Robotics and Computer Vision for Health, Food Security and Environment 6. Applications of AI in Veterinary Sciences 7. Precision Agriculture using AI 8. Genetics, Bioinformatics and AI: the Vast Scope 9. Food Manufacture, Processing, Storage, and Marketing using AI 10. AI in Animal Farms for Management and Breeding 11. AI in Classrooms: How AI Can Aid in Teaching Biology 12. Advances in Robotics for Biological Sciences 13. Ethical Issues Around AI 14. A Meshwork of AI and Biology: the Future of Science

Prof Nazir Ahmad Ganai (BVSc, MVSc, PhD, PDF) is currently serving as the Vice Chancellor of Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India. He acquired his PhD from the National Dairy Research Institute, India in Animal Genetics and Breeding. He has also completed multiple Post Doctoral Fellowships at Wageningen University, Netherlands, the University of Wisconsin Madison, USA and the University of Durham, UK. He has authored more than a hundred publications and a book. He has attracted extramural grants worth millions of dollars for the Institutes he served including the 30 Crore World Bank Funded National Agricultural Higher Education Project. He is also the recipient of the Indian National Science Academies’ Best Teacher Award 2019. Dr Ganai has teaching and research experience of more than 28 years. He was a part of the research team that developed Noorie, the world’s first pashmina Goat clone.

• Helps biologists to succeed in understanding the concepts of Artificial Intelligence and machine learning.
• Equips with new data mining strategies an easy interface into the world of Artificial Intelligence.
• Enable the researchers to enhance their own sphere of researching Artificial Intelligence.