This book offers a multidisciplinary look at the much-debated concept of “personalized medicine”. By combining a humanistic and a scientific approach, the book builds up a multidimensional way to understand the limits and potentialities of a personalized approach in medicine and healthcare. The book reflects on personalized medicine and complex diseases, the relationship between personalized medicine and the new bio-technologies, personalized medicine and personalized nutrition, and on some ethical, political, economic, and social implications of personalized medicine. This volume is of interest to researchers from several disciplines including philosophy, bio-medicine, and the social sciences.
Chapter 16, “The Impact of Fantasy” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Part I: Personalized Medicine and Complex Diseases.- Chapter 1. Personalized Treatments: Where Patient’s History and Biological Background Meet (Mariano Bizzarri).- Chapter 2. Why Precision Oncology is not Very Precise (and why this should not surprise us) (Anya Plutynski).- Chapter 3. Conceptual and Theoretical Specifications towards Accuracy in Medicine (Maël Montévil).- Part II: Personalized Medicine and Nutrition.- Chapter 4. Personalized Nutrition: Overrated or Misconceived? (Vincenzo Fogliano et al).- Part III: Personalized Medicine and New Bio-technologies.- Chapter 5. Drug Safety and Personalized Medicine: a Possible Interaction through E-Synthesis? (Francesco De Pretis et al).- Chapter 6. Organoids and Mouse Avatars in Personalized Medicine – Towards a Science of the Individual? (Sara Green).- Part IV: Personalized Medicine and Ethics of Innovation.- Chapter 7. From Ecogenetics to Exposomics: What is New in Molecular Epidemiology? (Xavier Guchet).- Chapter 8. Personalized Medicine and Research Biobanking: from Traditional Informed Consent to Participatory governance (Antonella Ficorilli).- Chapter 9. A GDPR-compliant blockchain-based system for sharing synthetic data and for computation “bringing the algorithms to the data” (Edwin Fletcher).- Part V: Personalized Medicine: the Societal and Economical Impact.- Chapter 10. U.S. Opioid Epidemic: An Integral Approach to Prevention, Treatment, and Prognosis (Maria Sophia Aguirre).- Chapter 11. TBA (Roger Strand).- Chapter 12. TBA (Massimo Ciccozzi).
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