Translational Bioinformatics in Healthcare and Medicine

1st Edition - May 13, 2021
Imprint: Academic Press
Editors: Khalid Raza, Nilanjan Dey
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 9 8 2 4 - 9
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 9 8 9 0 - 4

Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, vi… Read more

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Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics and real-case applications of translational bioinformatics in healthcare. Written by experts from both technology and clinical sides, the content brings together essential knowledge to make the best of recent advancements of the field.

The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug repurposing. In addition, it discusses the role of bioinformatics in cancer research and viroinformatics approaches to counter viral diseases through informatics.

This is a valuable resource for bioinformaticians, clinicians, healthcare professionals, graduate students and several members of biomedical field who are interested in learning more about how bioinformatics can impact in their research and practice.

Cover image
Title page
Table of Contents
Copyright
Dedication
Contributors
About the Editors
Preface
Acknowledgments
Chapter 1. Translational bioinformatics in healthcare: past, present, and future
1. Introduction
2. Origin of translational bioinformatics: a big leap
3. Scope and applications
4. Limitations with biologic data: ethical challenges
5. The road ahead: future prospects
6. Conclusions
List of abbreviation
Chapter 2. The fundamentals and potential of translational medicine in healthcare
1. Introduction
2. Translational medicine concepts from a brief historical perspective
3. Translational medicine from a practical perspective
4. Translational medicine as part of an evolution of modern medicine
5. Translational research
6. Translational research concepts from a brief historical perspective
7. Bioinformatics in healthcare
8. Bioinformatics from an applicable molecular point of view
9. Bioinformatics from an applicable perspective
10. Smart healthcare
11. Smart healthcare from a technologic interpretation
12. Discussion
13. Conclusions
14. Future trends
Chapter 3. Next-generation sequencing: an expedition from workstation to clinical applications
1. Introduction
2. Evolution of NGS technologies
3. Computation power and data analysis
4. Clinical applications of NGS
5. Challenges and limitations
6. Ethical aspect
7. Future directions
Chapter 4. Genomics in clinical care through precision medicine and personalized treatments
1. Introduction to genomics
2. Technologic approach to genomics
3. Biomarker-specific therapy
4. High-risk assessment in the population
5. Pharmacogenomics
6. Gene therapy
7. Infectious and chronic disease
8. Genome sequencing and translational bioinformatics approach to genomics and precision medicine
9. Translational bioinformatics approach
10. Current challenges and solutions
11. Conclusion
12. Future perspectives
Chapter 5. A review of a hybrid IoT-NG-PON system for translational bioinformatics in healthcare
1. Introduction
2. Literature review
3. Transitional bioinformatics
4. Applications
5. Open challenges
6. Conclusion and future scope
Chapter 6. IoT applications in translational bioinformatics
1. Introduction
2. Translational bioinformatics and IoT
3. Application of IoT for better healthcare
4. Soft computing techniques for healthcare data
5. IoT beneficiaries in healthcare
6. IoT architecture
7. Challenges in the adoption of IoT in healthcare
8. Conclusion
Chapter 7. Blockchain technology in healthcare: making digital healthcare reliable, more accurate, and revolutionary
1. Introduction
2. Why blockchain?
3. Use cases of blockchain in healthcare
4. Some popular blockchain platforms that can be used in healthcare
5. Popular projects or startups in healthcare using blockchain
6. SWOT analysis of blockchain technology in healthcare
7. Conclusion, discussion, and future works
Chapter 8. Integrity promised: leveraging blockchain technology for medical image sharing
1. Introduction
2. Literature survey
3. Proposed architecture
4. Use case
5. Implementation
6. Recent trends
7. Conclusion
Chapter 9. From molecules to patients: the clinical applications of biological databases and electronic health records
1. Introduction
2. Biological databases
3. Classification of biological databases and electronic health records
4. Role of biological databases in translation bioinformatics
5. Barriers and drawbacks
6. Conclusion
Chapter 10. Translational bioinformatics methods for drug discovery and drug repurposing
1. Introduction
2. Translational bioinformatics
3. Drug discovery
4. Drug reprofiling
5. Role of TBI in drug discovery and drug repurposing
6. Impact of TBI on drug discovery and drug repurposing
7. Advent of AIM in drug discovery
8. The road ahead: challenges and future directions
9. Conclusions
Chapter 11. Role of Bioinformatics in cancer research and drug development
1. Introduction
2. Bioinformatics advancement in cancer research till date
3. The current mode of therapy and drug development
4. The latest in cancer prevention and screening
5. Translational Bioinformatics and Precision Medicine in Cancer: The future scenario
6. Conclusion
Chapter 12. Application, functionality, and security issues of data mining techniques in healthcare informatics
1. Introduction
2. KDD in healthcare informatics
3. Data mining techniques in healthcare analytics
4. Security and privacy issues related to biologic and clinical data
5. Conclusion
Chapter 13. Viroinformatics: a modern approach to counter viral diseases through computational informatics
1. Introduction
2. Virus database
3. Transcriptome of viruses
4. Virus–host interactomes
5. Virus–host interaction networks and modeling viral control of the host system
6. HIV therapy simulator
7. LANL HIV database
8. Virus pathogen database and analysis resource and influenza resource database
9. Dengue and West Nile viruses databases
10. Hepatitis viruses, papillomavirus, and ViPR
11. Virus group-specific databases
12. Small RNA analysis tools
13. 2019-nCoV and its databases
14. Conclusion
Chapter 14. Viroinformatics for viral diseases: tools and databases
1. Introduction
2. Antiviral tools
3. Antiviral databases
4. Case study
5. Conclusion
Chapter 15. Machine learning in translational bioinformatics
1. Introduction
2. AI, ML, and DL background
3. Text mining in TBI
4. Biobanks using AI and ML
5. ML- and DL-based applications in health informatics
6. Limitations and challenges
7. Conclusion
Abbreviations
Chapter 16. An enhanced feature selection and cancer classification for microarray data using relaxed Lasso and support vector machine
1. Introduction
2. Related work
3. Materials and methods
4. Results and discussion
5. Conclusion
Chapter 17. Fuzzy rule-driven data mining framework for knowledge acquisition for expert system
1. Introduction
2. Knowledge acquisition
3. Related work
4. Fuzzy rule-driven data mining framework
5. Practical application of fuzzy rule-driven data mining framework
6. Fuzzy rule-driven data mining-based expert system
7. Evaluation of the fuzzy rule-driven data mining framework-based expert system
8. Conclusion
9. Limitations and future direction
Chapter 18. An efficient bioinformatics algorithm for healthcare: Detection and counting of leukocytes, blasts, and erythrocytes
1. Introduction
2. Vision computational and health informatics from a historical perspective
3. The importance of blood medical analysis
4. Translational medicine
5. Bioinformatics
6. Hemogram
7. Blood counting and digital image processing
8. Leukemia
9. Methodology
10. Results and discussion
11. Research and future development
12. Conclusions
Index

Khalid Raza

Dr. Khalid Raza is working as an Associate Professor at the Department of Computer Science, Jamia Millia Islamia, New Delhi. Earlier he worked as an “ICCR Chair Professor” at Ain Shams University, Cairo, Egypt. He has many years of teaching & research experiments in the field of Translational Bioinformatics and Computational Intelligence. He has contributed over 120 research articles in reputed Journals and Edited Books. Dr. Raza has authored/edited dozens of books published by reputed publishers. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, and Guest Editor of the Journal Natural Product Communications. He has an active collaboration with the scientists from leading institutions of India and abroad. Recently, Dr. Raza has been featured in the list of Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier. His research interest lies in Machine Learning and its applications in Bioinformatics and Health-informatics.

Affiliations and expertise

Department of Computer Science, Jamia Millia Islamia (Central University), Jamia Nagar, New Delhi, India

Nilanjan Dey

Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.

He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

Affiliations and expertise

Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India; Visiting Fellow , University of Reading, UK

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health