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Full Description
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.
Contents
Section 1: Epidemiology, data and technology
1. Understanding the disease and its epidemiology through data and technology
Section 2: Treatment / Pharmaceutical R&D
2. The use of computational biology in protein engineering and drug discovery
3. Innovative clinical trial design and operation - Implementing hybrid
and fully decentralized trials in a post-COVID world
Section 3: Triage, diagnosis, risk prediction
4. A perspective on Artificial Intelligence for digital pharmacovigilance in
pandemics
5. Consequences of the isolation in vulnerable populations: Brain and mental
health in the older population
6. Design for isolation, confinement, and mental health during intensive care
7. Triage, diagnosis and risk prediction: The benefits and challenges of
digital health and AI technologies
Section 4: Management and policies
8. How digital solutions can ensure continued high-quality care for
patients during pandemics
9. Beyond one-size-fits-all: Precision medicine and novel technologies for
sex- and gender-inclusive COVID-19 pandemic management
10. Innovating healthcare in the mid of a pandemic
