10. Interjection 1: How Healthy Do You Want to Be?
Part II: The Medicine of the Future
11. Re-Discover the Whole Patient
12. Research for patients
13. Know Your Genes
14. Outnumbered
15. Your Exposome
16. Big Data Medicine
17. Healed
18. Well-Tech
19. Interjection 2: Superhumans
Part III: The Future has Begun...
20. Self-diagnosis
21. Self-therapy
22. Your Digital Twin
Professor Harald H.H.W. Schmidt is a German physician and pharmacist, chairing the Department of Pharmacology and Personalized Medicine, Faculty of Health, Medicine and Life Sciences, at the University of Maastricht. Netherlands.
After his double degree in medicine and pharmacy, he distinguished himself as an internationally highly recognized researcher in the fields of drug therapy, elucidation of the causes of disease and prevention.
He headed and heads various research programs as an Advanced Investigator of the European Research Council (ERC), coordinator of Horizon 2020 project REPO-TRIAL and Collaboration on Science and Technology (COST) actions.
He founded companies with which he brought therapeutics and diagnostics to market, is co-editor of the journal Network and Systems Medicine, and has written over 200 peer-reviewed international publications, reviews and books with a Hirsch factor of 92 and over 30,000 citations.
Part of his early research training he conducted in the USA with the later Nobel Laureate, Ferid Murad, and led international institutes and research centers in Germany, Australia and the Netherlands. He is also the editor of a textbook on drug therapy and several expert handbooks in drug therapy.
As a broadly experience and critical analyst, he recognized the fundamental conceptual crisis in medicine and became one of the pioneers of systems medicine, i.e. a complete redefinition of what we actually call a "disease", how we organize medicine and how we use Big Data to heal rather than treat and ideally to prevent diseases.
He is a dedicated, international keynote speaker, podcaster, YouTuber and initiator of the German patientenwiewir.de patient platform. One of his hobbies is sports. For a long time, he was a soccer referee. His social engagement at Rotary International and different clubs introduced him to Homeless World Cup and sharpened is awareness and engagement for homeless people. Recently, his interested in sociocritical and political contemporary art recently started him to create his own small oeuvre under the concept of realitychanges.de, which has been selected for several solo and group exhibitions
Medicine itself is sick. We hardly understand any disease and therefore need to chronically treat symptoms but not the causes. Consequently, drugs and other therapies help only very few patients; yet we are pumping more and more money into our healthcare system without any added value and neglect prevention. Thus, the internationally renowned physician scientist, Harald H.H.W. Schmidt, MD, PhD, PharmD, professor at Maastricht University, predicts the end of medicine as we know it. On a positive note, digitization will radically change healthcare and lead to one of the greatest socioeconomic revolutions of mankind. He is one of the pioneers of "systems medicine", a complete redefinition of what we call a "disease", how we organize medicine and how we use Big Data to heal rather than treat, and to prevent rather than cure. In this book the author first proves the deep crisis of medicine, and then also describes how medicine will become more precise, more preventive, safer and, surprisingly, more affordable.
“Dr. Harald Schmidt convincingly explains the limitations in the current practice of medicine and the need for big data and a systems approach.”
Ferid Murad MD, PhD, Nobel Laureate in Medicine 1998
"Visionary, provocative, and full of insights. Professor Schmidt gives a unique and authoritative perspective to the past, present and future of medical science and clinical practice. And all presented in such an inimitable style."
Prof. Robert F. W. Moulds, MBBS PhD FRACP, Former Dean Royal Melbourne Hospital Clinical School of the University of Melbourne, Australia
The translation was performed with the help of artificial intelligence (machine translation by the service DeepL.com). Subsequent human revision including updating of each chapter was carried out mainly with a view to internationalization of the content, so that the book reads differently from a simple translation in terms of style and timeliness.