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 and Medicine - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. Dedication - p. Page v 7. Contributors - p. Page v 8. About the Editors - p. Page vii 9. Preface - p. Page viii 10. Acknowledgments - p. Page ix 11. List of Illustrations - p. Page x 12. List of Tables - p. Page xi 13. Chapter 1 : Translational bioinformatics in healthcare: past, present, and future - p. Page xi 14. Chapter 2 : The fundamentals and potential of translational medicine in healthcare - p. Page 10 15. Chapter 3 : Next-generation sequencing: an expedition from workstation to clinical applications - p. Page 25 16. Chapter 4 : Genomics in clinical care through precision medicine and personalized treatments - p. Page 42 17. Chapter 5 : A review of a hybrid IoT-NG-PON system for translational bioinformatics in healthcare - p. Page 56 18. Chapter 6 : IoT applications in translational bioinformatics - p. Page 67 19. Chapter 7 : Blockchain technology in healthcare: making digital healthcare reliable, more accurate, and revolutionary - p. Page 78 20. Chapter 8 : Integrity promised: leveraging blockchain technology for medical image sharing - p. Page 95 21. Chapter 9 : From molecules to patients: the clinical applications of biological databases and electronic health records - p. Page 104 22. Chapter 10 : Translational bioinformatics methods for drug discovery and drug repurposing - p. Page 124 23. Chapter 11 : Role of Bioinformatics in cancer research and drug development - p. Page 137 24. Chapter 12 : Application, functionality, and security issues of data mining techniques in healthcare informatics - p. Page 147 25. Chapter 13 : Viroinformatics: a modern approach to counter viral diseases through computational informatics - p. Page 155 26. Chapter 14 : Viroinformatics for viral diseases: tools and databases - p. Page 167 27. Chapter 15 : Machine learning in translational bioinformatics - p. Page 180 28. Chapter 16 : An enhanced feature selection and cancer classification for microarray data using relaxed Lasso and support vector machine - p. Page 190 29. Chapter 17 : Fuzzy rule-driven data mining framework for knowledge acquisition for expert system - p. Page 199 30. Chapter 18 : An efficient bioinformatics algorithm for healthcare: Detection and counting of leukocytes, blasts, and erythrocytes - p. Page 213 31. Index - p. Page 229
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 and Medicine - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. Dedication - p. Page v 7. Contributors - p. Page v 8. About the Editors - p. Page vii 9. Preface - p. Page viii 10. Acknowledgments - p. Page ix 11. List of Illustrations - p. Page x 12. List of Tables - p. Page xi 13. Chapter 1 : Translational bioinformatics in healthcare: past, present, and future - p. Page xi 14. Chapter 2 : The fundamentals and potential of translational medicine in healthcare - p. Page 10 15. Chapter 3 : Next-generation sequencing: an expedition from workstation to clinical applications - p. Page 25 16. Chapter 4 : Genomics in clinical care through precision medicine and personalized treatments - p. Page 42 17. Chapter 5 : A review of a hybrid IoT-NG-PON system for translational bioinformatics in healthcare - p. Page 56 18. Chapter 6 : IoT applications in translational bioinformatics - p. Page 67 19. Chapter 7 : Blockchain technology in healthcare: making digital healthcare reliable, more accurate, and revolutionary - p. Page 78 20. Chapter 8 : Integrity promised: leveraging blockchain technology for medical image sharing - p. Page 95 21. Chapter 9 : From molecules to patients: the clinical applications of biological databases and electronic health records - p. Page 104 22. Chapter 10 : Translational bioinformatics methods for drug discovery and drug repurposing - p. Page 124 23. Chapter 11 : Role of Bioinformatics in cancer research and drug development - p. Page 137 24. Chapter 12 : Application, functionality, and security issues of data mining techniques in healthcare informatics - p. Page 147 25. Chapter 13 : Viroinformatics: a modern approach to counter viral diseases through computational informatics - p. Page 155 26. Chapter 14 : Viroinformatics for viral diseases: tools and databases - p. Page 167 27. Chapter 15 : Machine learning in translational bioinformatics - p. Page 180 28. Chapter 16 : An enhanced feature selection and cancer classification for microarray data using relaxed Lasso and support vector machine - p. Page 190 29. Chapter 17 : Fuzzy rule-driven data mining framework for knowledge acquisition for expert system - p. Page 199 30. Chapter 18 : An efficient bioinformatics algorithm for healthcare: Detection and counting of leukocytes, blasts, and erythrocytes - p. Page 213 31. Index - p. Page 229
