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A Biologist’s Guide to Artificial Intelligence
Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences
Ambreen Hamadani, Nazir A Ganai, Hamadani Henna, J Bashir, Ambreen Hamadani,Nazir A Ganai,Hamadani Henna,J Bashir
- 220 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
A Biologist’s Guide to Artificial Intelligence
Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences
Ambreen Hamadani, Nazir A Ganai, Hamadani Henna, J Bashir, Ambreen Hamadani,Nazir A Ganai,Hamadani Henna,J Bashir
About This 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.
- Helps biologists 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
- Enables researchers to enhance their own sphere of researching Artificial Intelligence
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Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Chapter 1. Exploring artificial intelligence through a biologist's lens
- Chapter 2. The synergy of AI and biology: A transformative partnership
- Chapter 3. Understanding life and evolution using AI
- Chapter 4. Decoding life: Genetics, bioinformatics, and artificial intelligence
- Chapter 5. AI in healthcare: Pioneering innovations for a healthier tomorrow
- Chapter 6. Reimagining occupational health and safety in the era of AI
- Chapter 7. From data to insights: Leveraging machine learning for diabetes management
- Chapter 8. Smiles 2.0: The AI dentistry frontier
- Chapter 9. Applications and impact of artificial intelligence in veterinary sciences
- Chapter 10. Advancing precision agriculture through artificial intelligence: Exploring the future of cultivation
- Chapter 11. Artificial intelligence in animal farms for management and breeding
- Chapter 12. Food manufacturing, processing, storage, and marketing using artificial intelligence
- Chapter 13. Use of AI in conservation and for understanding climate change
- Chapter 14. Artificial intelligence in marine biology
- Chapter 15. Advances in robotics for biological sciences
- Chapter 16. Robotics and computer vision for health, food security, and environment
- Chapter 17. Artificial intelligence in classrooms: How artificial intelligence can aid in teaching biology
- Chapter 18. Ethical issues around artificial intelligence
- Chapter 19. A meshwork of artificial intelligence and biology: The future of science
- Index