Innovating Health Against Future Pandemics

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. - Explores the benefits of AI technologies in triage, diagnosis, and risk prediction - Reviews the innovative clinical trial designs in terms of platforms and decentralization - Covers Healthcare workload, including remote monitoring to help prevent burnout