Personalized medicine meets artificial intelligence : beyond "hype", towards the metaverse / Alfredo Cesario, Marika D'Oria, Charles Auffray, Giovanni Scambia, editors.
Cesario, Alfredo, editor.; D'Oria, Marika, editor.; Auffray, Charles, editor.; Scambia, Giovanni, editor.
2023
R859.7.A78
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Title Personalized medicine meets artificial intelligence : beyond "hype", towards the metaverse / Alfredo Cesario, Marika D'Oria, Charles Auffray, Giovanni Scambia, editors.
ISBN 9783031326141 (electronic bk.)
3031326148 (electronic bk.)
9783031326134
303132613X
DOI https://doi.org/10.1007/978-3-031-32614-1
Published Cham, Switzerland : Springer, [2023]
Language English
Description 1 online resource (285 pages) : illustrations (black and white, and colour).
Item Number 10.1007/978-3-031-32614-1 doi
Call Number R859.7.A78
Dewey Decimal Classification 610.285
Summary 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.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Cesario, Alfredo, editor.
D'Oria, Marika, editor.
Auffray, Charles, editor.
Scambia, Giovanni, editor.
Available in Other Form Personalized medicine meets artificial intelligence.
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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.

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