Multimodal Data Fusion for Bioinformatics Artificial Intelligence - Hardcover

Über die Autorin bzw. den Autor

Umesh Kumar Lilhore, PhD, is a postdoctoral research fellow at the University of Louisiana Lafayette, United States with more than 19 years of teaching experience and eight years of research experience. He has published many articles in reputed, peer-reviewed national and international Scopus journals and conferences. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India.

Abhishek Kumar, PhD, is an assistant director and associate professor in the Computer Science and Engineering Department at Chandigarh University, Punjab, India with more than 11 years of teaching experience. He has over 100 publications in reputed, peer-reviewed national and international journals, books and conferences and has authored/coauthored six books and edited 25 books published internationally. He has been a session chair and keynote speaker at many international conferences and webinars in India and abroad and is a member of various national and international professional societies in the field of engineering and research.

Narayan Vyas is a Technical Trainer for Research at Chandigarh University, India where he is actively involved in research and development in computer science and engineering. He has published many articles in reputed, peer-reviewed national and international Scopus journals and conferences. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. He recently presented one article at the 2023 7th International Conference on Computing Methodologies and Communication and two articles at the 2023 International Conference on Artificial Intelligence and Smart Communication.

Sarita Simaiya, PhD, is an associate professor at the Apex Institute of Technology, Department of Computer Science and Engineering, Chandigarh University, India. She has over 15 years of academic teaching experience and has published over 80 papers, presentations, and book chapters. Her research includes digital transformation technologies such as Cloud Computing, Health care, Artificial Intelligence (AI), Quantum Computing, Internet of Things (IoT), and Modal Learning.

Vishal Dutt is an accomplished principal research consultant at AVN Innovations with extensive experience in academia and industry. He is a renowned freelance trainer for Android and Google Cloud with over seven years of academic teaching experience. He has authored over 50 publications in well-known and peer-reviewed national and international journals, SCI and Scopus journals, conferences, and book chapters. He has contributed to the editorial process of two books and is currently working on three more. Vishal has been a keynote speaker and a valuable resource for many workshops and webinars across India.

Von der hinteren Coverseite

Multimodal Data Fusion for Bioinformatics Artificial Intelligence is a must-have for anyone interested in the intersection of AI and bioinformatics, as it delves into innovative data fusion methods and their applications in 'omics' research while addressing the ethical implications and future developments shaping the field today.

Multimodal Data Fusion for Bioinformatics Artificial Intelligence is an indispensable resource for those exploring how cutting-edge data fusion methods interact with the rapidly developing field of bioinformatics. Beginning with the basics of integrating different data types, this book delves into the use of AI for processing and understanding complex "omics" data, ranging from genomics to metabolomics. The revolutionary potential of AI techniques in bioinformatics is thoroughly explored, including the use of neural networks, graph-based algorithms, single-cell RNA sequencing, and other cutting-edge topics.

The second half of the book focuses on the ethical and practical implications of using AI in bioinformatics. The tangible benefits of these technologies in healthcare and research are highlighted in chapters devoted to precision medicine, drug development, and biomedical literature.

The book addresses a wide range of ethical concerns, from data privacy to model interpretability, providing readers with a well-rounded education on the subject. Finally, the book explores forward-looking developments such as quantum computing and augmented reality in bioinformatics AI. This comprehensive resource offers a bird's-eye view of the intersection of AI, data fusion, and bioinformatics, catering to readers of all experience levels.