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Full Description
This book is a comprehensive exploration of the dynamic interplay between bioinformatics and artificial intelligence (AI) within the healthcare landscape. This book introduces readers to the foundational principles of bioinformatics and AI, elucidating their integration and collaborative potential.
Bioinformatics and Beyond: AI Applications in Healthcare explores the transformative impact of data-driven insights, showcasing the applications of machine learning in diagnostics, personalized medicine, and genomic advancements. The book unveils the pivotal role AI plays in accelerating pharmaceutical research. Moreover, it addresses the practical implementation of AI in clinical decision support systems, while also critically examining challenges and ethical considerations associated with these technologies. Finally, the book looks toward the future, envisioning emerging trends and technologies that promise to reshape the future of healthcare. Aimed at professionals, researchers, and students across diverse disciplines, this book serves as an invaluable guide to understanding and navigating the evolving landscape of AI applications in healthcare.
This book is tailored to meet the needs of scientists, researchers, practitioners, professionals, and educators actively engaged in the realms of bioinformatics, artificial intelligence, and healthcare. It will be an indispensable resource for those seeking advanced strategies to address challenges and harness opportunities in the rapidly evolving fields of medical and biomedical research.
Contents
Contents
Preface
About the book
About the editors
List of Contributors
Introduction and Scope
1. AI and Machine Learning in Modern Healthcare
Kshatrapal Singh, Vijay Shukla, Dhiraj Gupta, Yogesh Kumar Sharma
2. Telemedicine and Remote Prenatal Care: A Soft Computing Approach
Pradnya S. Mehta, Pranav Bafna, Atharv Sawant, Pratik Patil, Niraj Pandit
3. Detection of Abnormality in Heart Rhythm Using Machine Learning Approach
Prabhudutta Ray, Raj Rawal, Ahsan Z. Rizvi
4. AI in Drug Discovery and Development
Tahreem Shahzad, Arooj Fatima Tul Zahra, Ayesha Naeem, Mujahid Tabassum
5. Transforming Healthcare: Leveraging Machine Learning Algorithms for Diagnosis, Treatment, and Management
Indu Joseph Thoppil, K. Ashtalakshmi, Ramesh Chundi
6. Gestational Diabetes Prediction Using Hybrid Probabilistic Machine Learning Models
Lakshmi K, Umme Salma M., Sangeetha Shathish
7. AI in Diagnostics and Disease Prediction: Urolithiasis
Suneel Kumar and Dashrath Singh
8. Unveiling Cheminformatics for Accelerated Drug Discovery and Development: A Computational-Guided Approach
Amanpreet Kaur and Debasish Mandal
9. Transformative Applications of AI and Machine Learning in Bioinformatics for Healthcare Systems
Arooj Fatima Tul Zahra, Mujahid Tabassum , Nabiea Shehma, Moeza Anam, Tripti Sharma
10. Revolutionizing Drug Development: The Role of AI in Modern Pharmaceutical Research
Samridhi Agarwal and Amit Kumar Dutta
11. Impact of AI on Healthcare from Diagnostics to Drug Discovery
Smrita Singh and Ashutosh Singh Chauhan
12. Biomedical Imaging Techniques in AI Applications
T. Kalpana, R.Thamilselvan and T.M.Saravanan
13. Ethical Implications of AI in CRISPR: Responsible Genome Editing
Umesh Gupta, Ayushman Pranav, Rajesh Kumar Modi, and Ankit Dubey
Index
