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.
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1. Translational bioinformatics in healthcare: past, present, and future2. The fundamentals and potential of translational medicine in healthcare3. Next-generation sequencing: an expedition from workstation to clinical applications4. Genomics in clinical care through precision medicine and personalized treatments5. A review of a hybrid IoT-NG-PON system for translational bioinformatics in healthcare 6. IoT applications in translational bioinformatics7. Blockchain technology in healthcare: making digital healthcare reliable, more accurate, and revolutionary8. Integrity promised: leveraging blockchain technology for medical image sharing9. From molecules to patients: the clinical applications of biologic databases and electronic health records10. Translational bioinformatics methods for drug discovery and drug repurposing11. Role of Bioinformatics in cancer research and drug development12. Application, functionality, and security issues of data mining techniques in healthcare informatics13. Viroinformatics: a modern approach to counter viral diseases through computational informatics14. Viroinformatics for viral diseases: tools and databases15. Machine learning in translational bioinformatics16. An enhanced feature selection and cancer classification for microarray data using relaxed Lasso and support vector machine17. Fuzzy rule-driven data mining framework for knowledge acquisition for expert system18. High accuracy in algorithm bioinformatics efficient in healthcare in detection and counting of leukocytes, blasts, and erythrocytes
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Presents practical knowledge on several applications of translational bioinformatics focused on healthcare
Covers recent advancements in translational bioinformatics and its healthcare applications Discusses integrative and multidisciplinary approaches to U-healthcare systems development and management Bridges the gap among various knowledge domains in the field, integrating both technological and clinical knowledge into practical content
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Produktdetaljer

ISBN
9780323898249
Publisert
2021-05-14
Utgiver
Vendor
Academic Press Inc
Vekt
700 gr
Høyde
276 mm
Bredde
216 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
254

Volume editor

Biographical note

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. 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.