UID:
almahu_9949552706802882
Format:
XI, 281 p. 48 illus., 46 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031326141
Content:
The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine. The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real-world examples that demonstrate the successful use of AI technologies in various contexts. These include examples from digital therapeutics, in silico clinical trials, and network pharmacology. In the final section of the book, the authors explore future directions in AI-enhanced biomedical technologies and discuss emerging technologies such as blockchain, quantum computing and the "metaverse". The book includes discussions on the ethical, regulatory, and social implications for an AI-based personalized medicine. The integration of heterogeneous disciplines brings together multiple stakeholders and decision makers involved in the personalization of care. Clinicians, students, and researchers from academia and the industry can benefit from this book, since it provides foundational knowledge to drive advances in personalized biomedical research and health care.
Note:
Part I. State of the Art -- Chapter 1. Personalized Medicine Through Artificial Intelligence: A Public Health Perspective -- Chapter 2. Artificial Intelligence and Digital Health: An International Biomedical Perspective -- Chapter 3. GDPR as a First Step Towards Free Flow of Data in Europe -- Chapter 4. Digital Therapeutics: Scientific, Technological, and Regulatory Challenges -- Chapter 5. Intelligence-Based Medicine: The Academic Perspective and Deep Humanism -- Part II. Consolidated Evidence -- Chapter 6. The Role of Big Data and Artificial Intelligence in Clinical Research and Digital Therapeutics -- Chapter 7. Systems Pharmacology for Immunotherapy: A Network Analysis of Signaling Pathways in Multiple Sclerosis for Combination Therapy Development -- Chapter 8. Approaches to Generating Virtual Patient Cohorts with Applications in Oncology -- Chapter 9. Artificial Intelligence and Deep Phenotyping in COVID-19 -- Chapter 10. Multilevel Modelling with AI: The Synergy-COPD Endeavour -- Chapter 11. Artificial Intelligence and Radiotherapy: Impact on Radiotherapy Workflow and Clinical Example -- Chapter 12. Artificial Intelligence in Surgery -- Part III. Emerging and Future Technologies -- Chapter 13. How Start-ups and Established Organisations Together Can Drive Meaningful Healthcare Innovation in Personalised Medicine and AI -- Chapter 14. Artificial Intelligence Augmented Medtech: Towards Personalized Patient Treatment -- Chapter 15. Quantum Computing: Promises and Challenges -- Chapter 16. Metaverse Means Better: How the Metaverse Continuum Is Evolving Healthcare to the Next Level -- Chapter 17. Patients' Reactions to Anthropomorphic Technologies in Healthcare. The Predictor Roles of Perceived Anthropomorphism and Human-Like Interaction: A Preliminarily Study -- Chapter 18. Some Ethical and Educational Perspectives on Using Artificial Intelligence in Personalized Medicine and Healthcare -- Chapter 19. The "Human Factor" Beyond Humans: Perspectives for an AI-Guided Personalized Medicine.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031326134
Additional Edition:
Printed edition: ISBN 9783031326158
Additional Edition:
Printed edition: ISBN 9783031326165
Language:
English
DOI:
10.1007/978-3-031-32614-1
URL:
https://doi.org/10.1007/978-3-031-32614-1
