Advanced AI Techniques and Applications in Bioinformatics
- Available for pre-order. Item will ship after October 18, 2021
The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists.
- Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics
- Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms
- Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions
- Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications
- Includes recent achievements in AI and bioinformatics contributed by a global team of researchers
Table of Contents
Chapter 1. An Artificial Intelligence-based Expert System for the Initial Screening of COVID-19. Chapter 2. An insight into the potential role of Artificial intelligence in Bioinformatics. Chapter 3. AI based Natural Language Processing for Generation Meaningful Information Electronic Health Record (EHR) Data. Chapter 4. AI and genomes for decisions regarding the expression of genes. Chapter 5. Implementation of Donor Recognition & Selection for Bioinformatics Blood Bank application. Chapter 6. Deep Learning Techniques for miRNA Sequence Analysis. Chapter 7. Role of machine intelligence in cancer drug discovery and development. Chapter 8. Genome and Gene editing by Artificial intelligence programs. Chapter 9. Artificial Neural Network (ANN) techniques in solving protein folding problem. Chapter 10. Application of Machine Learning and Molecular Modelling in Drug Discovery and Cheminformatics. Chapter 11. Role of Advanced Artificial Intelligence Techniques in Bioinformatics. Chapter 12. A Bioinformatics perspective of Artificial Intelligence in Healthcare & Diagnosis: Applications, Implications, and Limitations. Chapter 13. Accelerating Translational Medical Research by Leveraging Artificial Intelligence: Digital Healthcare.
Prof Gaur is the Professor and Program Director (Artificial Intelligence and Business Intelligence and Data Analytics of the Amity International Business School, Amity University, Noida, India. She is senior IEEE member and Series Editor with CRC and Wiley. Prof Gaur is an established Author, Researcher, she has filed five patents and two copyrights in AI-IoT. For over 18 years she served in India and abroad in different capacities. She has specialized in the fields of Artificial Intelligence, Internet of Things, Data Analytics, Data Mining and Business Intelligence. Prof. Gaur pursued research in truly inter-disciplinary areas and authored and co-authored Books with renowned International and National publishers like Elsevier, Springer, Taylor & Francis. She is invited as Guest Editor for Springer NASA Journal and Emerald Q1 journals. She has published many research papers in SCI and Q1 Journals. She has chaired various positions in International Conferences of repute and is a reviewer with top rated journals of IEEE, SCI and ABDC Journals.
Dr. Arun Solanki is an Assistant Professor in the Department of Computer Science and Engineering at Gautam Buddha University, Greater Noida. He received his Ph.D. in Computer Science and Engineering from Gautam Buddha University in 2014. He has supervised more than 60 dissertations and has published many research articles in Scopus indexed international journals. Dr. Solanki is the editor of several published books and a reviewer in journals published by reputed publishers.
Dr Samuel Fosso Wamba is a Professor at Toulouse Business School in France. He earned his Ph.D. in industrial engineering at the Polytechnic School of Montreal, Canada. His current research focuses on SCM, E&M-commerce, IT-enabled social inclusion, Blockchain, Social Media, Business Analytics, Big Data, and Artificial Intelligence. He is academic Co-Founder of RFID Academia, Founder and CEO of e-m-RFID. He has published papers in IS and OM Journals and Conferences. He is the guest editor of various special issues on IT/RFID/big data for various IS and OM Conferences and Journals. He is the head of the newly created Artificial Intelligence & Business Analytics Cluster at Toulouse Business School.
Dr. Noor Zaman Jhanjhi is an Associate Professor at Taylor University, Malaysia with 20 years of rich experience. He is an Associate Editor for several reputable journals including IEEE Access Journal, PC, and board member for several IEEE conferences around the globe. He is an active reviewer for a series of quality journals. He has authored several research papers in WoS/ISI indexed and in impact factor research IEEE journals and has edited 12 books in Computer Science, has supervised a number of postgraduate students. He has successfully completed more than 19 international funded research grants._