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Home > Mathematics and Science Textbooks > Biology, life sciences > Life sciences: general issues > Computational biology / bioinformatics > 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

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


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About the Book

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.

Table of Contents:
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

About the Author :
Dr Ambreen Hamdani (BVSc & AH, MVSc, PhD) is currently a Post Doctoral Fellow at the National Institute of Technology, Srinagar. Her PhD work was centred around the use of Artificial Intelligence for the prediction of genetic merit in Animals. She has published more than a hundred papers and a book. She has also won more than 30 international and national awards including (DST, Lockheed Martin, Tata Trust) India Innovation Growth Program 2019, National level elocution and writing contests, debating contests, the young scientists award for best scientific presentation etc. She has been granted a copyright and has published a patent as well. She has also been selected for a post-doctoral fellowship at the University of Wisconsin-Madison, USA. 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 postdoctoral fellowships at Wageningen University, The Netherlands, University of Wisconsin, Madison, USA, and the Durham University, UK. He has authored more than a hundred publications and a book. He has been awarded 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 a 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. Dr Henna Hamadani (B.V.Sc. & A.H., M.V.Sc., PhD) is currently working as Assistant Professor cum Junior Scientist in the Faculty of Veterinary Sciences and Animal Husbandry, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir. She graduated in Veterinary Sciences and Animal Husbandry from SKUAST-K and completed her master’s and PhD degrees in Livestock Production and Management. She is the recipient of the Department of Science and Technology, INSPIRE fellowship of Govt. of India. She has worked in the area of Artificial Intelligence during her Summer Research Fellowship granted by Indian National Science Academy. She has many awards and publications to her name including young scientist awards, best scientific presentation awards etc. She has carried out pioneering work on the characterization and documentation of India’s first and only registered geese breed the Kashmir Anz Dr Janibul Bashir received his B. Tech. degree in Information Technology from the National Institute of Technology Srinagar and his PhD degree in Computer Science from the Indian Institute of Technology Delhi. He is currently an Assistant Professor in the Department of Information Technology at the National Institute of Technology Srinagar. He has previously worked at Samsung Research India Bangalore as a software engineer. He is also a visiting faculty at Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior. Dr Janib is also a gold medallist in Btech. Dr Bashir is working on the application of artificial intelligence, machine learning and its applications in Information Technology. The research works authored by Dr Janibul Bashir have received several honours, including a Best Paper nomination at NOCS 2020. He has also published 2 patents


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Product Details
  • ISBN-13: 9780443240010
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 368
  • Weight: 770 gr
  • ISBN-10: 0443240019
  • Publisher Date: 05 Mar 2024
  • Binding: Paperback
  • Language: English
  • Sub Title: Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences
  • Width: 191 mm


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