Sepehr Ehsani studied laboratory medicine and pathobiology at the University of Toronto at the BSc and PhD levels. While completing his undergraduate degree, he was part of a neuropathology research group. During his postgraduate study, he worked in a protein biology lab with a focus on the prion protein implicated in a number of neurodegenerative diseases. Ehsani was a postdoctoral fellow at the Whitehead Institute for Biomedical Research and the MIT Computer Science and AI Lab, both in Cambridge, Massachusetts, from 2013 to 2016. There, he worked mainly on the alpha-synuclein protein - another neurodegenerative disease-linked protein. In 2015 and 2016, he was a Teaching Fellow at Harvard College's Program in General Education. He has been studying analytic philosophy at University College London since 2017 and is researching the augmentation of mechanistic explanations of disease with ceteris paribus laws and cell biological principles.

Patrick Glauner is a Full Professor of Artificial Intelligence at Deggendorf Institute of Technology in Bavaria, Germany, a position he is honored to hold since the age of 30. In parallel, he is the Founder & CEO of [...] GmbH, an AI consulting firm. As an expert witness, he advised the German federal parliament and the French National Assembly on AI. He regularly advises various federal and state ministries in Germany. He has published four books: "Creating Innovation Spaces" (Springer, 2021), "Digitalisierungskompetenzen: Rolle der Hochschulen" (Hanser, 2021), "Digitalization in Healthcare" (Springer, 2021), and "Innovative Technologies for Market Leadership" (Springer, 2020). His works on AI were featured by New Scientist, McKinsey, Imperial College London, Times Higher Education, Coursera, Udacity, the Luxembourg National Research Fund, Towards Data Science, Süddeutsche Zeitung, Bayerischer Rundfunk, Westdeutscher Rundfunk, Wehrtechnik, and others. Previously, he held managerial positions at the European Organization for Nuclear Research, at Krones Group, and at Alexander Thamm GmbH. He graduated as valedictorian from Karlsruhe University of Applied Sciences with a BSc in Computer Science. He subsequently received an MSc in Machine Learning from Imperial College London, an MBA from Quantic School of Business and Technology, and a PhD in Computer Science from the University of Luxembourg. He is an alumnus of the German National Academic Foundation (Studienstiftung des deutschen Volkes).

Philipp Plugmann has been doing multidisciplinary work for the last 20 years in parallel to practicing as a dentist in his own clinic in Leverkusen, Germany. He is also full Professor of Interdisciplinary Periodontology and Prevention at SRH University of Applied Health Sciences. His first book on innovation in medical technology, published in 2011, was reviewed by Cisco. His second bookon innovation, published with Springer in 2018, had more than 100,000 chapter downloads during the first thirty months after its release. Previously, he held multiple adjunct faculty appointments for over fifteen years, winning multiple teaching awards. He also holds an MBA in Health Care Management, an MSc in Business Innovation (both from the EBS University of Business and Law, Germany), and an MSc in Periodontology and Implant Therapy (DGParo, German Society for Periodontology); he is currently pursuing his third doctorate. Prof. Plugmann has given research talks in the field of innovation at conferences at Harvard Business School (USA), Berkeley Haas School of Business (USA), Max Planck Institute for Innovation and Competition (Germany), Max Planck Institute for Social Law and Social Policy (Germany) and Nanyang Technological University (Singapore). He is a serial entrepreneur and advisor to several companies, including a global technology consultancy as a Senior Advisor for Life Sc

Chapter 1. Introduction - Trends, Puzzles and Hopes for the Future of Healthcare.- Chapter 2. Innovations in Psychiatric Care Models: Lessons from the Past to Inform the Future.- Chapter 3. Mobile Sensors in Healthcare: Technical, Ethical, and Medical Aspects.- Chapter 4. New Horizons in Studying the Cellular Mechanisms of Alzheimer's Disease.- Chapter 5. Harnessing AI and Genomics to Accelerate Drug Discovery.- Chapter 6. Ethical Challenges in Applying New Technologies in Orthopedic Surgery.- Chapter 7. An Assessment of the AI Regulation Proposed by the European Commission.- Chapter 8. Post-Truth Implications for COVID-Era Healthcare: Verification, Trust, and Vaccine Skepticism.- Chapter 9. Patents on Inventions Involving AI in the Life Sciences and Healthcare.- Chapter 10. Redesigning Relations: Coordinating Machine Learning Variables and Sociobuilt Contexts in COVID-19 and Beyond.- Chapter 11. Sensor Devices, the Source of Innovative Therapy and Prevention.- Chapter 12. Digital andComputational Pathology: A Specialty Reimagined.- Chapter 13. Modern Home Care: A Glimpse into the Future of Patient-Centered Healthcare Systems.- Chapter 14. Teledermatology: Current Indications and Future Perspectives.- Chapter 15. Using Artificial Intelligence for the Specification of m-Health and e-Health Systems.- Chapter 16. The Outlook for Novel Pharmaceutics.- Chapter 17. The Future Open Innovation Approach in Health Care Needs Patients' Support.- Chapter 18. Uncertainty in Medicine: An Active Definition.- Chapter 19. Innovations for Sustainable Healthcare.- Chapter 20. Medical Additive Manufacturing in Surgery - Translating Innovation to the Point-of-Care.- Chapter 21. The Future of Medical Education.- Chapter 22. Personalized Dental Medicine with Specific Focus on the Use of Data from Diagnostic Dental Imaging.