Global Virology III: Virology in the 21st Century
Springer International Publishing (Verlag)
978-3-030-29021-4 (ISBN)
Global Virology, Volume III: Virology in the 21st Century examines work that has been undertaken, or is planned, in several fields of virology, in an effort to promote current and future work, research, and health. Fields and methods addressed include virology, immunology, space research, astrovirology/astrobiology, plasmids, swarm intelligence, bioinformatics, data-mining, machine learning, neural networks, critical equations, and advances in biohazard biocontainment. Novel and forward-looking methods, techniques, and approaches in research and development are presented by experts in the field.
Paul Shapshak, PhD, is an Adjunct Professor in the Department of Internal Medicine, Division of Infectious Diseases and International Health, Universitiy of South Florida, Morsani School of Medicine, in Tampa, Florida, USA. His background is in molecular biology, virology, neuro-immunology, and drug abuse research. S. Balaji, PhD, is an Associate Professor (Sr. Scale) in the Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka-576104, India. His background is in biochemistry, bioinformatics and drug design. Pandjassarame Kangueane, PhD, is the Director of Biomedical Informatics Private Limited, India and is the Chief Editor of Bioinformation, an open access journal in Biological Knowledge Discovery, India. His research interest is in HLA based short peptide vaccine design and in protein-protein interaction. Charurut Somboonwit, MD, is a Professor in the Department of Internal Medicine, Division of Infectious Diseases and International Health, University of South Florida, Morsani College of Medicine, in Tampa, Florida, USA. . Her expertise is in communicable diseases and HIV medicine.
1. Applications of Artificial Intelligence and Machine Learning in Viral Biology.- 2. Non-Immune Modulators of Cellular Immune Surveillance to HIV-1 and other Retroviruses: Future Artificial Intelligence-Driven Goals and Directions.- 3. Emerging Technologies for Antiviral Drug Discovery.- 4. Wavelet Transform Modulus Maxima Approach for Hepatitis Virus Classification with ANN.- 5. Computational Coarse Protein Modeling of HIV-1 Sequences Using Evolutionary Search Algorithm.- 6. Drug Development for Hepatitis C Virus Infection: Machine Learning Applications.- 7. Modern Developments in Short Peptide Viral Vaccine Design.- 8. Artificial life and therapeutic vaccines against cancers that originate in viruses.- 9. Mystery of HIV Drug Resistance -- A Machine Learning Perspective.- 10. Swarm Intelligence in Cell Entry Exclusion Phenomena in Viruses and Plasmids: How to Exploit Intelligent Gene Vector Self-Scattering in Therapeutic Gene Delivery.- 11. A Combinatorial Computational Approach for Drug Discovery Against AIDS: Machine Learning and Proteochemometrics.- 12. Application of Support Vector Machines in Viral Biology.- 13. Eliminating Cervical Cancer: A Role for Artificial Intelligence.- 14. HIV and Injection Drug Use: New Approaches to HIV Prevention.- 15. Innovative Technologies for Advancement of WHO Risk Group 4 Pathogens Research.- 16. Space Exploration and Travel, Future Technologies for In-flight Monitoring and Diagnostics.- 17. Futuristic Methods in Virus Genome Evolution Using the Third-Generation DNA Sequencing and Artificial Neural Networks.- 18. Futuristic Methods for Treatment of HIV in the Nervous System.- 19. Tuberculosis: Advances in Diagnostics and Treatment.- 20. Astrovirology, Astrobiology, Artificial Intelligence: Extra-Solar System Investigations.- 21. Climate Crisis Impact on AIDS, IRIS, and Neuro-AIDS.- 22. 21st Century Virology: Critical Steps.- 23. Futuristic Methods for Determining HIV Co-receptor Use.-
| Erscheinungsdatum | 08.12.2019 |
|---|---|
| Zusatzinfo | XI, 680 p. 95 illus., 83 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1196 g |
| Themenwelt | Medizin / Pharmazie ► Medizinische Fachgebiete ► Mikrobiologie / Infektologie / Reisemedizin |
| Studium ► Querschnittsbereiche ► Infektiologie / Immunologie | |
| Naturwissenschaften ► Biologie ► Humanbiologie | |
| Naturwissenschaften ► Biologie ► Mikrobiologie / Immunologie | |
| Schlagworte | Artificial Intelligence • Evidence-based Medicine • Fractals • nanotechnology • Neural networks • vaccines • Viral Immunology • Virology |
| ISBN-10 | 3-030-29021-2 / 3030290212 |
| ISBN-13 | 978-3-030-29021-4 / 9783030290214 |
| Zustand | Neuware |
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