Top Five Reasons Big Data Is Advancing Personalized Medicine

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Decisions based on hard facts, and less on subjective interpretation

Historically, much diagnosis has been based on subjective visual analysis of a biopsy sample viewed through a microscope. Depending on the clinician’s experience or background, the diagnosis could be different from clinician to clinician. Hence, the oft requested “second opinion.” The datafication of patient samples, where discrete data points are extracted from qualitative samples, yields a vast quantity of knowledge that can be statistically analyzed and quickly reviewed by multiple clinicians for solid diagnosis and therapy recommendations.

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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