Innovating Health Against Future Pandemics covers the key aspects which drive heterogeneity in an individual's response to COVID-19, including age, sex, genetic makeup, immune responses, comorbidities, and viral strains/loads. This book also reviews the case examples from other disciplines to highlight areas where precision medicine and AI could be applied for the improvement of pandemic management. This includes research, primary and secondary prevention, isolation/tracking, hospitalization and patient management, diagnosis, and treatments. Lastly, drawing on past experiences for each of the areas this book provides practical recommendations to manage future pandemics. COVID-19 offered an unprecedented occasion to test the impact of digitally enabled solutions within precision medicine for public health and for accelerating their deployment and adoption.
1. Innovating Health Against Future Pandemics - p. xi 2. Cover - p. xi 3. About the WBP book series - p. xi 4. Title Page - p. xi 5. Copyright Page - p. xi 6. Table of Contents - p. xi 7. Dedication - p. xi 8. Contributors - p. xi 9. Editor’s biographies - p. xii 10. Foreword - p. xv 11. Acknowledgments - p. xx 12. Chapter 1 Advancing epidemiological understanding: Navigating challenges and embracing innovations in the age of technology and data - p. 4 13. Chapter 2 The use of computational biology in protein engineering and drug discovery - p. 16 14. Chapter 3 Innovative clinical trial design and operation—Implementing hybrid and fully decentralized clinical trials in a post-COVID world - p. 36 15. Chapter 4 A perspective on Artificial Intelligence for digital pharmacovigilance in pandemics - p. 60 16. Chapter 5 Consequences of the isolation in vulnerable populations: Brain and mental health in the older population - p. 70 17. Chapter 6 Design for isolation, confinement, and mental health during intensive care - p. 92 18. Chapter 7 Triage, diagnosis and risk prediction: The benefits and challenges of digital health and AI technologies - p. 106 19. Chapter 8 How digital solutions can ensure continued high-quality care for patients during pandemics - p. 120 20. Chapter 9 Beyond one-size-fits-all: Precision medicine and novel technologies for sex- and gender-inclusive COVID-19 pandemic management - p. 134 21. Chapter 10 Future outlook - p. 158 22. Index - p. 167
Innovating Health Against Future Pandemics covers the key aspects which drive heterogeneity in an individual's response to COVID-19, including age, sex, genetic makeup, immune responses, comorbidities, and viral strains/loads. This book also reviews the case examples from other disciplines to highlight areas where precision medicine and AI could be applied for the improvement of pandemic management. This includes research, primary and secondary prevention, isolation/tracking, hospitalization and patient management, diagnosis, and treatments. Lastly, drawing on past experiences for each of the areas this book provides practical recommendations to manage future pandemics. COVID-19 offered an unprecedented occasion to test the impact of digitally enabled solutions within precision medicine for public health and for accelerating their deployment and adoption.
1. Innovating Health Against Future Pandemics - p. xi 2. Cover - p. xi 3. About the WBP book series - p. xi 4. Title Page - p. xi 5. Copyright Page - p. xi 6. Table of Contents - p. xi 7. Dedication - p. xi 8. Contributors - p. xi 9. Editor’s biographies - p. xii 10. Foreword - p. xv 11. Acknowledgments - p. xx 12. Chapter 1 Advancing epidemiological understanding: Navigating challenges and embracing innovations in the age of technology and data - p. 4 13. Chapter 2 The use of computational biology in protein engineering and drug discovery - p. 16 14. Chapter 3 Innovative clinical trial design and operation—Implementing hybrid and fully decentralized clinical trials in a post-COVID world - p. 36 15. Chapter 4 A perspective on Artificial Intelligence for digital pharmacovigilance in pandemics - p. 60 16. Chapter 5 Consequences of the isolation in vulnerable populations: Brain and mental health in the older population - p. 70 17. Chapter 6 Design for isolation, confinement, and mental health during intensive care - p. 92 18. Chapter 7 Triage, diagnosis and risk prediction: The benefits and challenges of digital health and AI technologies - p. 106 19. Chapter 8 How digital solutions can ensure continued high-quality care for patients during pandemics - p. 120 20. Chapter 9 Beyond one-size-fits-all: Precision medicine and novel technologies for sex- and gender-inclusive COVID-19 pandemic management - p. 134 21. Chapter 10 Future outlook - p. 158 22. Index - p. 167
