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Abstract:
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Precision medicine aims to combine comprehensive data collected over time about an individual's genetics, environment and lifestyle, to advance disease understanding and interception, aid drug discovery and ensure delivery of appropriate therapies. Development of robust and scalable methodologies integrating data derived from electronic health records, 'omics technologies, imaging, and mobile health is critical to advance these goals. Hence, researchers in statistics, epidemiology and machine learning are essential in transforming big data into biomedical insight. This panel will bring together experts working in industry, academia, and government, across each of the distinct fields generating these data. They will discuss current approaches and the challenges which still face us in analysis and integration. The session is particularly timely given various government, academic and industry partnerships aiming to sequence millions of individuals over the next five years, and will be of broad interest to statisticians in the medical area as institutions shift their strategies to targeted, data-driven interventions.
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