Top Five Reasons Big Data Is Advancing Personalized Medicine

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Correlating multiple sources for diagnosis and therapy decisions

Big Data analysis of clinical outcomes, genetic profiles and tissue morphology will be a big driver of personalized medicine. As we are able to align and compare multiple data points from various sources, tailoring individualized treatment plans for each patient will be possible.

Big Data as it pertains to health care has emerged at the center of the revolution in personalized medicine. Simply put, the proliferation of data offers great possibilities for more precise diagnosis, as researchers are able to drill down to see what’s happening and create more targeted therapies, specifically at the molecular and tissue levels.

In this slideshow, Thomas Heydler, CEO of Definiens, a leading provider of image analysis and data mining solutions for quantitative digital pathology in the life sciences, diagnostic biomarkers and health care industries, explores the top five reasons Big Data is advancing personalized medicine as we know it.

 

Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

 
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