On the surface, the goals of personalized medicine, widely considered the future of medicine, are quite clear. Put patients into groups based on their genomic makeup, give doctors an edge in identifying potential threats, and shift from reactive to preventive treatment.
But collecting and analyzing the data that drives this industry is inherently complex, and Aaron Black has a role in making sense of it all. As the chief data officer at the Inova Translational Medicine Institute, a research group that develops methods of personalized medicine, Black leads a team that builds the data and analytics infrastructure to support Inova Health System’s genomic analysis. That analysis, Black said, will spawn research studies that he says will help Inova, which operates six hospitals and serves 2 million people, “lead the area, region and country in treating patients at the most personalized level.” Read more.
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