Future of AI in Biomedicine and Biotechnology

The healthcare industry is grappling with numerous challenges, including rising costs, inefficiencies in service delivery, and the need for personalized treatment approaches. Traditional healthcare management and delivery methods must be improved in addressing these issues, leading to a growing demand for innovative solutions. Additionally, the exponential growth of medical data and the complexity of biomedical research and biotechnology presents a daunting challenge in harnessing this data effectively for improved patient care and medical advancements. There is a pressing need for a comprehensive understanding of how artificial intelligence (AI) can be leveraged to tackle these challenges and drive meaningful change in the healthcare sector. Future of AI in Biomedicine and Biotechnology offers a timely and insightful solution to the challenges faced by the healthcare industry. This book is not just a theoretical exploration; it is a practical roadmap for healthcare professionals, researchers, policymakers, and entrepreneurs seeking to navigate the complexities of AI in healthcare. By exploring the intersection of AI with biomedical sciences and biotechnology, this book provides a comprehensive guide to harnessing the power of AI for transformative healthcare innovation. Title Page Copyright Page Book Series Dedication Table of Contents Detailed Table of Contents Preface Acknowledgment Chapter 1: Introduction to AI in Biotechnology and Biomedical Engineering Chapter 2: Introduction to AI in Biomedical and Biotechnology Chapter 3: Introduction to Predictive Analysis in Healthcare Chapter 4: The Transformative Role of Artificial Intelligence in Advancing Bovine Reproductive Biology Chapter 5: Revolutionizing Healthcare Chapter 6: Using CNN for Brain Tumor Diagnosis Chapter 7: IoT-Enabled Assistive Technologies Approach for Personalized Geriatric Health Monitoring and Safety Chapter 8: Enhancing Healthcare Integration With IoT for Seamless and Responsive Patient Care Chapter 9: Detection of Heart Disease Using ANN Chapter 10: A Comprehensive Study on Disease Diagnosis Using Ayurvedic Dosha Analysis Chapter 11: Artificial Intelligence's Integration in Biomedical Engineering Chapter 12: Shaping the Future of Healthcare With BERT in Clinical Text Analytics Chapter 13: AI-Driven Drug Discovery and Development Chapter 14: AI in Bioinformatics and Computational Biology Chapter 15: AI in Genomic Medicine Compilation of References About the Contributors Index