Innovating Health Against Future Pandemics
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COVID-19 offered an unprecedented occasion to test the impact of digitally enabled solutions within precision medicine, for public health and accelerating their deployment and adoption. Innovating Health Against Future Pandemics covers the key aspects, which drive heterogeneity in the individuals' 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.
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