I. Introduction
Definition of AI and biotechnology
Brief history of AI and biotechnology
Importance of AI-powered biotech in healthcare
Objectives of the book
II. Fundamentals of AI in Biotech
Overview of AI technologies used in biotech
Machine learning algorithms in biotech
Neural networks and deep learning in biotech
Natural language processing in biotech
Image recognition and computer vision in biotech
III. Applications of AI in Biotech
Drug discovery and development
Personalized medicine
Medical imaging and diagnosis
Disease monitoring and management
Precision agriculture and food security
IV. Challenges and Opportunities of AI in Biotech
Ethical and legal implications of AI in biotech
Data privacy and security concerns in AI-powered biotech
Lack of regulatory frameworks for AI in biotech
Integration of AI and human expertise in biotech
V. Case Studies on AI-Powered Biotech
Real-world examples of AI in biotech applications
Success stories of AI-powered biotech in healthcare
Challenges faced and solutions implemented in AI-powered biotech
VI. Future Perspectives on AI in Biotech
The potential impact of AI in biotech
The future of AI-powered biotech in healthcare
Technological advancements and their potential impact on AI in biotech
New trends and opportunities for AI-powered biotech in the future
VII. Conclusion
Summary of the key points discussed in the book
Future directions for research in AI-powered biotech
Final thoughts on the potential impact of AI in biotech in the future