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Abstract:
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Precision health is the science of data-driven decision support for improving health at the individual, community and population levels. This includes precision medicine and precision public health and circumscribes all health-related challenges which can benefit from a precision operations approach. This framework strives to discover empirically valid solutions to optimize outcomes in both the short and long term. This includes incorporating and addressing heterogeneity across persons, time, location, institutions, communities, key stakeholders, and other contexts. In this poster presentation, we imagine what the future of precision health can look like and outline a possible path to achieving it. Our interdisciplinary roadmap involves the confluence of numerous disciplines, including biomedicine, statistics, machine learning, artificial intelligence, economics, public health, engineering, and social science, among other disciplines.
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