Main description:

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.

Contents:

1. Translational bioinformatics in healthcare: past, present, and future
2. The fundamentals and potential of translational medicine in healthcare
3. Next-generation sequencing: an expedition from workstation to clinical applications
4. Genomics in clinical care through precision medicine and personalized treatments
5. A review of a hybrid IoT-NG-PON system for translational bioinformatics in healthcare
6. IoT applications in translational bioinformatics
7. Blockchain technology in healthcare: making digital healthcare reliable, more accurate, and revolutionary
8. Integrity promised: leveraging blockchain technology for medical image sharing
9. From molecules to patients: the clinical applications of biologic databases and electronic health records
10. Translational bioinformatics methods for drug discovery and drug repurposing
11. Role of Bioinformatics in cancer research and drug development
12. Application, functionality, and security issues of data mining techniques in healthcare informatics
13. Viroinformatics: a modern approach to counter viral diseases through computational informatics
14. Viroinformatics for viral diseases: tools and databases
15. Machine learning in translational bioinformatics
16. An enhanced feature selection and cancer classification for microarray data using relaxed Lasso and support vector machine
17. Fuzzy rule-driven data mining framework for knowledge acquisition for expert system
18. High accuracy in algorithm bioinformatics efficient in healthcare in detection and counting of leukocytes, blasts, and erythrocytes