Translational Bioinformatics in Healthcare and Medicine

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.

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