Artificial Intelligence and Biological Sciences
eBook - ePub

Artificial Intelligence and Biological Sciences

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Biological Sciences

About this book

Advancements of AI in medical and biological sciences have opened new ways for drug development. Novel therapeutic molecules and their target action can be easily predicted and can be modified. AI helps in disease detection and diagnosis faster. The breakthrough of AI is made especially in the area of personalized precision medicine, host-pathogen interaction and predictive epidemiology. These approaches could help in faster decision-making with minimal errors that can improve risk analysis, especially disease diagnosis and selecting treatment strategy. In agricultural practices, an exact combination of fertilizers, pesticides, herbicides, soil management, water requirement analysis, yield prediction and overall crop management can be modified by implementing AI interventions. AI could provide a better improvement in agriculture, medical research, pharmaceuticals and bio-based industries for a sustainable life.

The key features of this book are: AI in medical Sciences, biotechnology and drug discovery; Application of AI in Digital Pathology, cytology and bioinformatics; Overview of AI, Machine Learning and Deep Learning; Impact of Artificial Intelligence in Society; Artificial Intelligence in Pharmacovigilance; and Ethics in Artificial Intelligence. The volume aims to comprehensively cover the application of AI in biological sciences. It is a collection of contributions from different authors who have several years of experience in their specific areas. The book will be useful for pharma companies, CROs, product developers, students, researchers, academicians, policymakers and practitioners.

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Yes, you can access Artificial Intelligence and Biological Sciences by P.V. Mohanan in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Contents
  6. List of Contributors
  7. Chapter 1 Overview of Artificial Intelligence
  8. Chapter 2 Evolution of Artificial Intelligence
  9. Chapter 3 Futuristic Application of Artificial Intelligence
  10. Chapter 4 Comparison of Human Intelligence with Artificial Intelligence
  11. Chapter 5 Advantages and Disadvantages of Artificial Intelligence
  12. Chapter 6 Comparison of Machine Learning and Deep Learning
  13. Chapter 7 Supervised Learning
  14. Chapter 8 Unsupervised Learning
  15. Chapter 9 Ethics in Artificial Intelligence
  16. Chapter 10 Learning Anatomy using Virtual Dissections: Previous Experience and Future Directions Integrating Artificial Intelligence and Multiple Approaches
  17. Chapter 11 Artificial Intelligence in Medical Sciences
  18. Chapter 12 Artificial Intelligence in Biotechnology
  19. Chapter 13 Artificial Intelligence in drug Discovery
  20. Chapter 14 Artificial Intelligence in Biosciences
  21. 15 Artificial Intelligence in System Biology
  22. 16 Artificial Intelligence-based Methods for Drug Screening
  23. 17 Artificial Intelligence in Synthetic Biology
  24. Chapter 18 Cognitive Artificial Intelligence
  25. Chapter 19 Artificial Intelligence in Digital Biology
  26. Chapter 20 Artificial Intelligence in Biological Data Science
  27. Chapter 21 Artificial Intelligence in Bioinformatics
  28. Chapter 22 Impact of Artificial Intelligence on Society: A Healthcare Perceptive
  29. Chapter 23 Application of AI in Digital Pathology
  30. Chapter 24 Deep Learning and AI in Digital Cytology
  31. Chapter 25 Applications of Artificial Intelligence in RNA-sequencing
  32. Chapter 26 Artificial Intelligence in Pharmacovigilance and Materiovigilance
  33. Chapter 27 AI in Imaging: Emphasis on Medical Imaging
  34. Chapter 28 The Decisive Role of Artificial Intelligence in Toxicology: Advancements and Applications
  35. Index
  36. About the Editor