Muutke küpsiste eelistusi

E-raamat: Personalized Medicine Meets Artificial Intelligence: Beyond "e;Hype"e;, Towards the Metaverse

Edited by , Edited by , Edited by , Edited by
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 26-Aug-2023
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031326141
  • Formaat - EPUB+DRM
  • Hind: 185,24 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 26-Aug-2023
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031326141

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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.

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.
Alfredo Cesario





Open Innovation Manager at the Fondazione Policlinico Universitario A. Gemelli IRCCS (Rome, Italy, www.policlinicogemelli.it). CEO, Gemelli Digital Medicine and Health Srl (GDMH, www.gdmh.it).





Marika D'Oria





PhD in Education and Communication. Health Communication Officer for the Scientific Directorate (Open Innovation Unit) at the Fondazione Policlinico Universitario A. Gemelli IRCCS (Rome, Italy). 





Charles Auffray





Founding Director at the European Institute for Systems Biology and Medicine (Lyon, France) and CNRS Research Director at the Joliot Curie Transdisciplinary Laboratory and École Normale Supérieure (Lyon, France).





Giovanni Scambia





Scientific Director at the Fondazione Policlinico Universitario A. Gemelli IRCCS and Full Professor in Gynecology and Obstetrics at the Catholic University of the Sacred Heart (Rome, Italy).