Top Five Reasons Big Data Is Advancing Personalized Medicine

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Exposing the unknown

Technologies that can now extract large amounts of data out of samples or biopsies are allowing for previously unknown factors involved in disease to be discovered and utilized as drug targets or disease biomarkers. Data is also able to expose the complexity of a disease, especially cancer, and that there will never be one drug or treatment option that works for every patient.  

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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