
Bioinformatics and Beyond
AI Applications in Healthcare
- 344 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Bioinformatics and Beyond
AI Applications in Healthcare
About this book
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.
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Information
Table of contents
- Cover
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Preface
- About the Book
- About the Editors
- List of Contributors
- 1 AI and Machine Learning in Modern Healthcare
- 2 Telemedicine and Remote Prenatal Care: A Soft Computing Approach
- 3 Detection of Abnormality in Heart Rhythm Using a Machine Learning Approach
- 4 AI in Drug Discovery and Development
- 5 Transforming Healthcare: Leveraging Machine Learning Algorithms for Diagnosis, Treatment, and Management
- 6 Gestational Diabetes Prediction Using Hybrid Probabilistic Machine Learning Models
- 7 AI in Diagnostics and Disease Prediction: Urolithiasis
- 8 Unveiling Cheminformatics for Accelerated Drug Discovery and Development: A Computational-Guided Approach
- 9 Transformative Applications of AI and Machine Learning in Bioinformatics for Healthcare Systems
- 10 Revolutionizing Drug Development: The Role of AI in Modern Pharmaceutical Research
- 11 Impact of AI on Healthcare from Diagnostics to Drug Discovery
- 12 Biomedical Imaging Techniques in AI Applications
- 13 Ethical Implications of AI in CRISPR: Responsible Genome Editing
- Index